{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "960ceacb-3c3f-484c-95b9-172bd009b1a4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a generic code for drawing a state's Home Districts for neutral map estimation\n",
      "In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\n"
     ]
    }
   ],
   "source": [
    "#  THIS IS THE PRIMARY VERSION TO USE FOR ALL STATES  #from NJ 5/4/24 w/minor NY updates\n",
    "print(\"This is a generic code for drawing a state's Home Districts for neutral map estimation\") #Jan'24\n",
    "print(\"In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\")\n",
    "import shapely\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "from shapely.ops import nearest_points, transform\n",
    "from shapely.affinity import translate, scale\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "from scipy.stats import norm\n",
    "from scipy.optimize import minimize, minimize_scalar\n",
    "import math\n",
    "import time\n",
    "import ast\n",
    "# from HDmethods import *   #I want to implement this, but my HDmethods require shapely functions\n",
    "# see https://stackoverflow.com/questions/66877728/proper-way-to-use-import-when-calling-external-function for a future workaround\n",
    "\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "#handy function for plotting Polygon or multiPolygon tracts and precincts\n",
    "def plotPoly(inputPoly,LW=1):\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y,lw=LW)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y,lw=LW)  \n",
    "def plotCenter(t,geom,FONTSIZE=10):\n",
    "    plt.text(geom.centroid.x,geom.centroid.y,t,ha='center',fontsize=FONTSIZE)\n",
    "    \n",
    "def r3(number):\n",
    "    result = round(number,3)\n",
    "    return result\n",
    "\n",
    "def r5(number):\n",
    "    result = round(number,5)\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2ab4a3d5-f4e7-4aec-b81c-0e786cd35b57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def getWeightedAvgAndSD(LIST, WEIGHTS):  #from IN\n",
    "    nWeights = len(WEIGHTS)\n",
    "    normWeights = [WEIGHTS[i] / np.sum(WEIGHTS) for i in range(nWeights) ]\n",
    "    AVG = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        AVG += normWeights[i] * value\n",
    "    sumVar = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        sumVar += normWeights[i] * (value - AVG)**2\n",
    "    SD = sumVar ** 0.5     #don't need to normalize again since weights were normalized\n",
    "    return AVG, SD\n",
    "\n",
    "def squish(shapeList, cutLINE, farLINE, newFarLINE):\n",
    "    \"\"\"\n",
    "    This method compresses a list of shapes lying between the cutLINE and the farLINE)\n",
    "    such that the Polygons now lie between the cutLINE and the newFarLINE, which is closer to the cutLINE\n",
    "    Used to compress state outcroppings into a more compact state representation.\n",
    "     (I tried doing this point by point (see #'s), but this overdistorted geometries.)\n",
    "      (#This was a manual alternative to shapely.affinity.scale and .translate operations)\n",
    "       So instead, we run this AFTER established untransformed map topology, and \n",
    "        we simply scale and translate each unit.  This loses true connectivity.\n",
    "        Scaling is all lengths scale by compression of distance\n",
    "    The cut, far, and newFar LineString segments are preferably parallel\n",
    "    The method returns the modified shapes of all pollys\n",
    "    \"\"\"\n",
    "    if cutLINE.intersects(farLINE) or cutLINE.intersects(newFarLINE):\n",
    "        print(\"cutLine,farLine, newFarLine were\",cutLINE, farLINE, newFarLINE)\n",
    "        raise Exception(\"ERROR: the proposed cutLine intersects the current or proposed far line\")\n",
    "    newPollys = list()\n",
    "    for polly in shapeList:\n",
    "        pollyCP = polly.centroid\n",
    "        cutPt =     nearest_points(cutLINE,   pollyCP)[0]\n",
    "        farPt =     nearest_points(farLINE,   pollyCP)[0]\n",
    "        newFarPt =  nearest_points(newFarLINE,pollyCP)[0]\n",
    "        curr_cutX, curr_cutY =            pollyCP.x - cutPt.x, pollyCP.y -  cutPt.y\n",
    "        currFar_CutX , currFar_CutY  =    farPt.x - cutPt.x, farPt.y   -  cutPt.y\n",
    "        new_currFarX, new_currFarY =      newFarPt.x - farPt.x, newFarPt.y - farPt.y\n",
    "        newFar_CutX,  newFar_CutY =       newFarPt.x - cutPt.x, newFarPt.y   -  cutPt.y\n",
    "        distanceRatio = newFarPt.distance(cutPt)/farPt.distance(cutPt) #scale area ^length^2\n",
    "        XOFF,YOFF = 0., 0.\n",
    "        XFACT, YFACT = 1., 1.  #default = no stretch\n",
    "        # basic equation: (new-cut)/(curr-cut) = (newFar-cut)/(currFar - cut)\n",
    "        #  or: (new-curr)  = (curr-cut)*(newFar-currFar)/(currFar - cut)   # -1 to both sides\n",
    "        if currFar_CutX != 0:\n",
    "            XOFF =  curr_cutX * new_currFarX / currFar_CutX\n",
    "            XFACT =              newFar_CutX / currFar_CutX\n",
    "        if currFar_CutY != 0:\n",
    "            YOFF =  curr_cutY * new_currFarY / currFar_CutY\n",
    "            YFACT =              newFar_CutY / currFar_CutY\n",
    "        newPolly = translate(polly,xoff=XOFF,yoff=YOFF)\n",
    "        newPolly = scale(newPolly, xfact=XFACT, yfact=YFACT, origin='centroid')\n",
    "        newPollys.append( newPolly )       \n",
    "    return newPollys\n",
    "\n",
    "def getHDcp(TRACTCP,TRACTPOP, TRACTLIST, SPLITTRACTNO = -777,SPLITTRACTUSE = 1.):  #population centerpoint of a Home District or county (cluster)\n",
    "    cpx, cpy, sumPop = 0.,0., 0.\n",
    "    for tt in TRACTLIST:\n",
    "        USE = 1.\n",
    "        if tt ==    SPLITTRACTNO:\n",
    "            USE =   SPLITTRACTUSE\n",
    "        sumPop += USE*TRACTPOP[tt]\n",
    "        cpx +=    USE*TRACTPOP[tt] * TRACTCP[tt].x\n",
    "        cpy +=    USE*TRACTPOP[tt] * TRACTCP[tt].y\n",
    "    HDCP_ = Point(cpx/sumPop, cpy/sumPop)\n",
    "    return HDCP_\n",
    "\n",
    "#  The below four methods are TO SNAP to HD SHAPES without any solving / iteration\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    The optional xScale parameter is the ratio of longitude to latitude lengths scales (<<1 for far from equator)\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def buildPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a 4-tri polygon from four HD wedges emanating from the centerpoint\n",
    "    Pt = [Point(0,0)]*12                      #xScale has same meaning as in buildWedge\n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW]  #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ]  \n",
    "        Pt[nW*2] =   Point(CP.x + RADII[nW]/XSCALE*math.cos(ccwAngle), CP.y + RADII[nW]*math.sin(ccwAngle) )\n",
    "        Pt[nW*2+1] = Point(CP.x + RADII[nW]/XSCALE*math.cos( cwAngle), CP.y + RADII[nW]*math.sin( cwAngle) )        \n",
    "    POLLY = Polygon([Pt[0],Pt[1],Pt[2],Pt[3],Pt[4],Pt[5],Pt[6],Pt[7] ])\n",
    "    return POLLY\n",
    "\n",
    "def buildArcPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a fuller polygon from four HD wedges emanating from the centerpoint\n",
    "    twoPi = 2. * 3.1415926   #xScale has same meaning as in buildWedge\n",
    "    POINTS = list()                   \n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW] % twoPi                 #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ] % twoPi \n",
    "        midAngle = [0.75*ccwAngle + 0.25*cwAngle , 0.25*ccwAngle + 0.75*cwAngle ]  #avoid s sampling cone center for wide angles\n",
    "        if abs (ccwAngle - cwAngle) > 3.1415926 :  #angles straddle angle=0\n",
    "            midAngle = [0.75*(ccwAngle - twoPi) + 0.25*cwAngle , 0.25*(ccwAngle -twoPi) + 0.75*cwAngle ]\n",
    "        angList = [ccwAngle] + midAngle + [cwAngle]\n",
    "        for ang in angList:\n",
    "            POINTS.append(Point(CP.x + RADII[nW]/XSCALE*math.cos(ang), CP.y + RADII[nW]*math.sin(ang) ) )\n",
    "                          \n",
    "    POLLY = Polygon(POINTS)\n",
    "    return POLLY\n",
    "\n",
    "def getPolyPop(POLLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points contained by a polygon\n",
    "    WPOP, WLIST = 0., list()\n",
    "    for tt in CANDIDATELIST:\n",
    "        if POLLY.contains(TRACTCP[tt]):\n",
    "            WPOP += TRACTPOP[tt]\n",
    "            WLIST.append(tt)\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonCPP(POLLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county in getPolyPop\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if POLLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonHCunits(POLLY, HC, UNITLIST, UNITCP, UNITPOP, ALLFUSEDCOUNTIES, AREAFRAC, COUNTYGEOM, \n",
    "                  NEIGHBORCOUNTYLIST, COUNTYUNITLIST):\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"unit counties\" are added as whole units if a sufficient area fraction is captured.  For non-unitCs, we probe each component vtd / tract\n",
    "    \"\"\"\n",
    "    UPOP, ULIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county before we called this method\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        #1/9/24 - DO WE NEED TO MODIFY THE ORDER BELOW TO AVOID CREATING HOLES AND ENCLAVES ??  #\n",
    "        \n",
    "        for c in latestClist:\n",
    "            for cc in list( set(NEIGHBORCOUNTYLIST[c]).difference(set(ALLFUSEDCOUNTIES)) ):\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        if cc+0.5 in UNITLIST:\n",
    "                            if POLLY.intersection(COUNTYGEOM[cc]).area >=  AREAFRAC[cc] * COUNTYGEOM[cc].area :\n",
    "                                intersectedClist.append(cc)   #for unit counties, intersections count only if they capture sufficient area\n",
    "                                newClist.append(cc)\n",
    "                                UPOP += UNITPOP[UNITLIST.index(cc+0.5)]\n",
    "                                ULIST.append( UNITLIST.index(cc+0.5) )\n",
    "                        else:                           \n",
    "                            intersectedClist.append(cc)\n",
    "                            newClist.append(cc)\n",
    "                            if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                                unitsToAdd = COUNTYUNITLIST[cc]\n",
    "                                UPOP += np.sum(  [ UNITPOP[uu] for uu in unitsToAdd ]  )\n",
    "                                ULIST += unitsToAdd\n",
    "                            else:\n",
    "                                for uu in COUNTYUNITLIST[cc]:\n",
    "                                    if POLLY.contains(UNITCP[uu]):\n",
    "                                        UPOP += UNITPOP[uu]\n",
    "                                        ULIST.append(uu)\n",
    "        latestClist = newClist.copy()\n",
    "        \n",
    "    return UPOP, ULIST\n",
    "\n",
    "def clusterSwell(CP_, CCBgeom, CCBpop, allUnits, unitCP, unitPop, unitNbrs, borderUnits, TGTPOP):\n",
    "    \"\"\"\n",
    "    This method grows a Home District by \"swelling\" from a corner county cluster.  First, we add the full cluster,\n",
    "     then we add closest neighbor units to the home district centerpoint CP_ until we reach the TGTPOP\n",
    "     new for MN 4/7/24 - don't enforce contiguity here -- too slow -- fix in cleanup stage instead\n",
    "     \"\"\"\n",
    "    hd_CCBdist = [CP_.distance(geo) for geo in CCBgeom]\n",
    "    CCBno = hd_CCBdist.index(np.min(hd_CCBdist))  #ID's the closest cluster to this HD center.  Should contain the HD, but rarely will not\n",
    "    unitNo = allUnits.index(CCBno+0.25)\n",
    "    newList, prevList, addedList, addedPop = [unitNo], [unitNo], [unitNo], unitPop[unitNo]  #seed with the cluster pop and unit\n",
    "    while addedPop < 0.99 * TGTPOP and len(newList) > 0:\n",
    "        tryList = getAdjoiners(addedList,unitNbrs)\n",
    "        tryDist = [ CP_.distance(unitCP[UU]) for UU in tryList ]\n",
    "        idx = np.argsort(tryDist)\n",
    "        idxNo, newList = 0, list()\n",
    "        haveNotAdded = True\n",
    "        while idxNo < len(tryList) and haveNotAdded:\n",
    "            UU = tryList[idx[idxNo]]\n",
    "            if unitPop[UU] + addedPop < 1.01 * TGTPOP :  #and wontEnclave(UU, addedList, unitNbrs, borderUnits) :  #we'll post-fix contig'y\n",
    "                newList.append(UU)\n",
    "                addedList.append(UU)\n",
    "                addedPop += unitPop[UU]\n",
    "                haveNotAdded = False\n",
    "            idxNo +=1\n",
    "        prevList = newList.copy()\n",
    "        \n",
    "    return addedPop, addedList\n",
    "            \n",
    "def getFakeHC(HDPOLLY, HC, CCBlist, countyGeom, MAP) :\n",
    "    \"\"\"\n",
    "    This method is for setting a fake home county for counties in corner clusters, so that county neighbors can be found budding from the \"home county\"\n",
    "    We pick the county in the cluster closest to the map center and intersecting the HDpoly.  This will be an active county on the cluster boundary   \n",
    "    \"\"\"\n",
    "    MAPcenter = MAP.centroid\n",
    "    for L in CCBlist:\n",
    "        if HC in L:\n",
    "            distList, cList = list(), list()\n",
    "            for C in L:\n",
    "                if HDPOLLY.intersects(countyGeom[C]):\n",
    "                    distList.append(countyGeom[C].distance(MAPcenter))\n",
    "                    cList.append(C)\n",
    "    fakeHC = cList[distList.index(np.min(distList)) ]\n",
    "    return fakeHC\n",
    "\n",
    "def getLongDist(CP1, CP2, xScale = 1.0): #distance between two points with EW distance scaled down by latitude\n",
    "    #LAT = MAP.centroid.y\n",
    "    #xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "    dist = ( xScale*xScale * (CP1.x - CP2.x)*(CP1.x - CP2.x)  +  (CP1.y - CP2.y)*(CP1.y - CP2.y) ) **0.5 \n",
    "    return dist\n",
    "\n",
    "# THESE ARE THE METHODS USED IN SOLVING HD SHAPES\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def getCountyWP(T, WEDGEPOLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points in a wedge excluding a point\n",
    "        WPOP, WLIST = 0., list()\n",
    "        for tt in CANDIDATELIST:\n",
    "            if tt != T and WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                WPOP += TRACTPOP[tt]\n",
    "                WLIST.append(tt)\n",
    "        return WPOP, WLIST\n",
    "\n",
    "def getNonCWP(WEDGEPOLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by an infinite polygonal wedge for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def isIncludedA(STARTa, ENDa, TESTa): #determines if a test angle is between a start and end angle (True)\n",
    "    \"\"\"\n",
    "    The start angle must be less than the end angle when placed on the [0, 2 pi] interval  (ccw convention)\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    STARTa, ENDa, TESTa = STARTa % (2.*pi), ENDa % (2.*pi), TESTa % (2.*pi)  #place on the 2pi interval\n",
    "    isIncludedA = False\n",
    "    if STARTa  > ENDa :  #included angle straddles east\n",
    "        if   TESTa  >= STARTa or TESTa < ENDa :  #near-east between the two\n",
    "            isIncludedA = True\n",
    "    else:\n",
    "        if TESTa >= STARTa and TESTa < ENDa :  #normal case\n",
    "            isIncludedA = True\n",
    "    return isIncludedA\n",
    "\n",
    "def getNonCWP_c(STARTANGL, ENDANGL, HC, TRACTCP,TRACTPOP,COUNTYGEOM,COUNTYPOP,COUNTYTRACTLIST,\n",
    "                                    NEIGHBORCOUNTYLIST, UUDIST, UUANGLE, WEDGEPOLY) :\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a polygonal wedge for counties contiguous with the Home County (no hop-overs),\n",
    "    EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    Unlike its getNonCWP vanilla parent, this one uses angles rather than infinite wedges for units (still wedges for counties)\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if isIncludedA(STARTANGL, ENDANGL, UUANGLE[tt]): #WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getExitAngle(CP,WEDGEPOLY, MAP, A0, A1):\n",
    "    \"\"\"\n",
    "    This code determines the orientation angle from a CenterPoint to the intersection of a wedge with an exterior boundary\n",
    "    If an intersection is not found, we just take the average angle of the wedge start/stop angles A0, A1 as this orientation angle\n",
    "    MAP must be a single polygon for this to work in the revised code (tho could run thru all polygons in MAP if a multipolygon)\n",
    "    \"\"\"\n",
    "    EXITANGLE = 0.5* (A0 + A1) #this will be the angle from the x-axis to the exit beeline\n",
    "    if WEDGEPOLY.intersects(MAP.exterior):\n",
    "        edgeLine = WEDGEPOLY.intersection(MAP.exterior) #true state boundary line where wedge crossed it\n",
    "        closePoint = nearest_points(edgeLine,CP)[0]\n",
    "        dx = closePoint.x - CP.x       #this and below lines were indented in original code***\n",
    "        dy = closePoint.y - CP.y\n",
    "        EXITANGLE =  pi/2. * np.sign(dy)  #default in case dx=0\n",
    "        if (dx != 0. ):\n",
    "            EXITANGLE = math.atan(dy/dx) + random.uniform(-0.01,0.01) #add wiggle to avoid exact NESW orientation in gridded states\n",
    "            if dx < 0. :  #use complementary atan solution; boundary is west of tract centroid\n",
    "                EXITANGLE = pi + EXITANGLE\n",
    "    return EXITANGLE # this reorients 0th wedge to face boundary's closest point\n",
    "\n",
    "def getNewAngles(mWP, tWP, ADP, LEVEL_L, MINADJRATIO, MAXANGLE, MAXANGLERATIO, nUNFILLEDWEDGES): \n",
    "    \"\"\"\n",
    "    This method classifies Home Districts based on how their post-reoriented equi-angle max wedge pops stack up vs targets,\n",
    "     then changes wedge angles in some situations to pick up more population along the boundary\n",
    "    If there is one wedge that will fall short of a quarter district pop, then we adjust angles if it is sufficiently short    \n",
    "    (Using \"HD2\" code, the opposite wedge's pop will be constrained as well.)\n",
    "    If there are two opposite-facing constrained wedges, we do not adjust angles\n",
    "    If there are two adjacent constrained wedges, we classify as a corner (no angle change) if the adjacent wedge is sufficiently constrained,\n",
    "      otherwise we treat as a single constrained wedge\n",
    "    If there are three constrained wedges, the angles are unchanged; we use the 4th wedge to pick up all pop\n",
    "    If all four wedges are constrained, there is an error and we raise a flag.\n",
    "    mWP is the quadlist of maxWedgePops we would get by extending each wedge to the MAP boundary\n",
    "    tWP is the quadlist of targetWedgePops\n",
    "    LEVEL_L is the non-dimensional distance to the boundary at which we no longer adjust wedge angles to drive more near-boundary pop\n",
    "    MAXANGLERATIO is the max ratio of the wide angle (facing the boundary) to the normal angle (e.g. 90deg for four wedges) ...\n",
    "    but this is truncated near-boundary to MAXANGLE (e.g. 1.8 pi/2 instead of increasing all the way to 1.9 pi/2)\n",
    "      NOTE THAT this code does not consider nearly-shorted wedges -- those are a separate method called later if all mWP's > tWP's\n",
    "    \"\"\"   \n",
    "    isChange = False   #default; we are NOT changing angles\n",
    "    printDebuggg = False\n",
    "    NWEDGES = len(mWP)\n",
    "    avgWedgeAngle = 2.*math.pi / NWEDGES\n",
    "    minW = mWP.index(np.min(mWP))  #index of the wedge with the lowest max wedge pop\n",
    "    oppW = int( int(minW + NWEDGES/2) % NWEDGES )  #and its opposing wedge\n",
    "    Lstar = ( mWP[minW] / (0.25*ADP) )**0.5  #shortest wedge's nondim'l distance to boundary\n",
    "    \n",
    "    case = \"keep same wedge angles\" #default; no unfillable wedges or all but one are unfillable\n",
    "    if nUNFILLEDWEDGES >= NWEDGES:\n",
    "        raise Exception(\"ERROR! ALL WEDGES ARE CONSTRAINED for tract\",t,\".  IMPOSSIBLE!!\")\n",
    "    if nUNFILLEDWEDGES == 1:\n",
    "        case = \"constrain opp wedge\"\n",
    "        if Lstar >= levelL :\n",
    "            case = \"keep same wedge angles\"  #not close enough to boundary to distort HD shape\n",
    "    if nUNFILLEDWEDGES == 0 or nUNFILLEDWEDGES == NWEDGES - 1:  #far from boundary or with only one wedge w/large pop\n",
    "        case = \"keep same wedge angles\"   \n",
    "    if nUNFILLEDWEDGES == 2:  #must determine if opposite or adjacent           \n",
    "        if mWP[oppW] < tWP[oppW]:  #shorted wedges oppose each other, so ...\n",
    "            case = \"keep same wedge angles\" #...the HD shape will naturally widen to pick up adjacent pop\n",
    "        else:  #we have 2 adjacent (non-opposing) shorted wedges... but how shorted?  ID the adjacent wedge\n",
    "            for nW in range(NWEDGES):\n",
    "                if mWP[nW] < tWP[nW] and nW != minW :\n",
    "                    adjW = nW  #this is the adjacent wedge\n",
    "                    adjRatio = mWP[adjW] / tWP[adjW]\n",
    "            if adjRatio < minAdjRatio:  #we're close to a corner (this adjacentWedge is significantly constrained)\n",
    "                case = \"keep same wedge angles\"\n",
    "                if printDebuggg :\n",
    "                    print(\"Not adjusting wedge angles for tract\",t,\"as 2nd-sparsest wedge\",adjW,\"has pop\",mWP[adjW] )\n",
    "            else:\n",
    "                case = \"constrain opp wedge\"  #we will set the angles and target pops as if the adj wedge were not constrained\n",
    "    \n",
    "    if case == \"keep same wedge angles\":\n",
    "        isChange = False\n",
    "        WEDGEANGLE = [avgWedgeAngle for w in range(NWEDGES) ]\n",
    "\n",
    "    if case == \"constrain opp wedge\":  #Here, we modify wedge angles.  MWP's will be recalc'd outside the method\n",
    "        isChange = True  \n",
    "        wideAngle = min(MAXANGLE, avgWedgeAngle*max(  1,( 1.+(MAXANGLERATIO-1.)*(LEVEL_L - Lstar)/(LEVEL_L - 0.) )  ) )\n",
    "        WEDGEANGLE = [(2.*pi - 2. * wideAngle)/ (NWEDGES - 2.) for w in range(NWEDGES) ]  \n",
    "        WEDGEANGLE[minW] = wideAngle\n",
    "        WEDGEANGLE[oppW] = wideAngle\n",
    "    \n",
    "    return isChange, WEDGEANGLE\n",
    "\n",
    "def rebalanceTWPs(MWP, TWP, BARREDLIST=list()):\n",
    "    \"\"\"\n",
    "    This method iteratively increases targetWedgePops to accommodate wedges that have maxWedgePop < targetWedgePop.\n",
    "    The wedgePop gap is distributed equally among wedges that have some capacity and are not BARRED (e.g. an opposite wedge in HD2 method)\n",
    "     (If this pushes some wedges over capacity, this will be fixed in a later run through loop inside this method)\n",
    "    We also flag which wedges \"will fill\" = have sufficient capacity after the rebalancing of the targets to not use the entire maxWedgePoly\n",
    "    \"\"\"\n",
    "    DEBUGrTWP = False\n",
    "    NWEDGES = len(MWP)\n",
    "    unorderedCapacity = [MWP[w] - TWP[w] for w in range(NWEDGES) ]\n",
    "    idx = np.argsort(unorderedCapacity)\n",
    "    #for nn in range(NWEDGES):\n",
    "    #    print(MWP[idx[nn]])\n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        for nn in range(NWEDGES):\n",
    "            print(\"barred list, orig MWP, TWP\",BARREDLIST, r3(MWP[nn]),r3(TWP[nn]) )\n",
    "    \n",
    "    for nn in range(NWEDGES):  #going from least to most maxWedgePop here ...\n",
    "        nW = idx[nn]\n",
    "        if MWP[nW] < TWP[nW]: #need to redistribute extra target to higher-capacity wedges ...\n",
    "            wedgePopGap = TWP[nW] - MWP[nW]\n",
    "            TWP[nW] = MWP[nW]  #max out this wedge\n",
    "            nReceivers = 0.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....\n",
    "                    nReceivers += 1.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....                    \n",
    "                    TWP[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap, even if this goes over; we'll correct in later loop\n",
    "                    \n",
    "    WILLFILL = [1]*NWEDGES\n",
    "    for nW in range(NWEDGES):\n",
    "        if MWP[nW] < 1.001* TWP[nW]:  #required pop nearly or truly requires the entire wedge\n",
    "            WILLFILL[nW] = 0 \n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        print(\"adjusted TWP's are\",TWP)\n",
    "    return TWP, WILLFILL\n",
    "\n",
    "def solveWedge(nontractTWP,t, hC, STARTANGLE, ENDANGLE, MAXD, TOLERPOPS, tractCP, tractPop,\n",
    "               countyTractList, countyGeom, countyPop, neighborCountyLIST,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    #### NO LONGER USED; SEE FASTER SOLVEWEDGEB BASED ON UNIT-UNIT DISTANCES  *********\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop (which excludes the home tractPop)\n",
    "    The wedge has a fixed starting and ending angle.  Its maximum diameter is angle-related to max diameter of the state map\n",
    "    It uses bisection, NOT scipy minimize to minimize the square error in the wedge pop vs. target\n",
    "    The method passes back the final wedge pop and list of tracts in the wedge\n",
    "    \"\"\"\n",
    "    chgLoopNo, maxLoopNo = 10., 22.  #when we will start relaxing the pop tolerance, and when we give up\n",
    "    includedAngl = ENDANGLE - STARTANGLE\n",
    "    guessedR = MAXD / math.cos(0.5*includedAngl)  #max possible wedge radius, accounting for possible wide angle\n",
    "    popTol = TOLERPOPS[0]  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    #                      We loosen toward half the MAX tractPop if not converging\n",
    "    \n",
    "    offsetPop = 88888888.  #to force a reduction the first time through the loop\n",
    "    dr = guessedR\n",
    "    loopNo = 0\n",
    "    while abs(offsetPop) > popTol and loopNo < maxLoopNo:\n",
    "        loopNo +=1\n",
    "        popTol = max(TOLERPOPS[0], TOLERPOPS[0] + (TOLERPOPS[1] - TOLERPOPS[0]) * (loopNo - chgLoopNo) / (maxLoopNo - chgLoopNo) )\n",
    "        dr = 0.5*dr\n",
    "        guessedR -= dr*np.sign(offsetPop)\n",
    "        \n",
    "        guessedPoly = buildWedge(tractCP[t],STARTANGLE, ENDANGLE, guessedR,XSCALE) \n",
    "        iCP, iClist =  getCountyWP(t,guessedPoly, tractCP, tractPop, countyTractList[hC])\n",
    "        nonCP, nonClist = getNonCWP(guessedPoly, hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyLIST)\n",
    "        offsetPop = iCP + nonCP - nontractTWP\n",
    "        #print(t,loopNo,r5(guessedR),int(iCP),int(nonCP),r3(offsetPop+nontractTWP),r3(nontractTWP),\"t,loop,R,iCP,nonCP,pop,target\")\n",
    "        if loopNo >= maxLoopNo-1:\n",
    "            print(\"WARNING. Looped\",loopNo,\"times for t,angles,R\",t,r3(STARTANGLE),r3(ENDANGLE),r5(guessedR),\n",
    "                  \"wedgePop offset, target are\",int(offsetPop), int(nontractTWP) )    \n",
    "    finalPop = iCP + nonCP\n",
    "    finalList = iClist + nonClist\n",
    "    return finalPop, finalList, guessedR, loopNo\n",
    "\n",
    "#above = bisection.  Below solveWedgeB uses static unit-unit distances\n",
    "# Also tried scipy minimize, which doesn't seem any faster\n",
    "\n",
    "def solveWedgeB(nontractTWP,T, HC, POLLY, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that intersect,\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2x2 array\n",
    "    \"\"\"\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    \n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList = 0, 0, list()\n",
    "    notFull = True\n",
    "    while notFull :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist    \n",
    "\n",
    "def solveWedgeC(nontractTWP,T, HC, POLLY, STARTANGL, ENDANGL, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST, UUANGLE):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that\n",
    "    fall within the angle range (in lieu of wedgeB's check for intersection),\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2D array\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    STARTANGL, ENDANGL = STARTANGL % (2.*pi), ENDANGL % (2.*pi)\n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList, latestDist = 0, 0, list(), 0.00001  #dummy value\n",
    "    notFull = True\n",
    "    while notFull and i < len(UUDIST) - 2 :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if isIncludedA(STARTANGL, ENDANGL, UUANGLE[TT]) : #POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist \n",
    "\n",
    "\n",
    "def getPartialTract(t, HDTRACTLIST, offsetPop, UUDIST, tractPop, neighborLIST):\n",
    "    \"\"\"\n",
    "    If offsetPop is >0, this method identifies the tract with centroid farthest from Home t that can jettison at least offsetPop ...\n",
    "    ... by slicing out part of this tract.\n",
    "    If offsetPop <0, we ID a tract CLOSEST to Home t among neighbors of in-HD tracts to pick up a partial\n",
    "    We return the tractID and its new partial use\n",
    "    We have updated this method to pass the uuDist slice for tract t instead of computing tract distances inside here\n",
    "    \"\"\"\n",
    "    debugGPT = False\n",
    "    NTRACTS = len(tractCP)\n",
    "    bigDist = 9999999.\n",
    "    qualifyingTractList = list()\n",
    "    isWholeTract = False\n",
    "    if offsetPop > 0:\n",
    "        homeDist = [0.]*NTRACTS  #default = 0 to not get picked\n",
    "        for TT in HDTRACTLIST:\n",
    "            if tractPop[TT] > offsetPop:\n",
    "                qualifyingTractList.append(TT)\n",
    "        for TT in qualifyingTractList:\n",
    "            homeDist[TT] = UUDIST[TT]\n",
    "        if len(qualifyingTractList) == 0:  #very rare case where all in-HD tracts are too small.  Jettison nearly the whole farthest one\n",
    "            isWholeTract = True\n",
    "            for TT in HDTRACTLIST:\n",
    "                if tractPop[TT] > 0.9*np.average(tractPop): #set arbitrary min qualifying pop\n",
    "                    homeDist[TT] = UUDIST[TT]\n",
    "        targetT = homeDist.index(np.max(homeDist))\n",
    "        partialUseFrac = max(0.0001,(tractPop[targetT] - offsetPop)/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(\"positive offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    else: #pick up a partial\n",
    "        homeDist = [bigDist]*NTRACTS\n",
    "        for TT in HDTRACTLIST:\n",
    "            for TTT in neighborList[TT]:\n",
    "                if TTT not in qualifyingTractList and TTT not in HDTRACTLIST and tractPop[TTT] > abs(offsetPop):\n",
    "                    qualifyingTractList.append(TTT)\n",
    "        for TTT in qualifyingTractList:\n",
    "            homeDist[TTT] = UUDIST[TTT]\n",
    "        if len(qualifyingTractList) == 0 :  #rare case where most nearby tracts are small.  Add nearly the whole biggest one\n",
    "            isWholeTract = True\n",
    "            maxPop = 0.\n",
    "            targetT = -999\n",
    "            for TT in HDTRACTLIST:\n",
    "                for TTT in neighborList[TT]:\n",
    "                    if TTT not in qualifyingTractList and TTT not in HDTRACTLIST : # we'll take just one, even if doesn't fill gap\n",
    "                        qualifyingTractList.append(TTT)\n",
    "            for TTT in qualifyingTractList:\n",
    "                if tractPop[TTT] > maxPop:\n",
    "                    targetT = TTT\n",
    "                    maxPop = tractPop[targetT]\n",
    "        else:\n",
    "            targetT = homeDist.index(np.min(homeDist))\n",
    "        partialUseFrac = min(0.9999, -1.* offsetPop/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(t,\"'s negative offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    \n",
    "    return targetT, partialUseFrac\n",
    "\n",
    "def getAdjoiners(UNITLIST, UNITNBRS): #returns all units that neighbor a UNITLIST but are not in the UNITLIST \n",
    "    allNbrs = list()\n",
    "    for U in UNITLIST:\n",
    "        allNbrs = allNbrs + UNITNBRS[U]\n",
    "    adjoiners = list( set(allNbrs).difference(set(UNITLIST)) )\n",
    "    return adjoiners\n",
    "\n",
    "def get2nbrs(ULIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    Get the combined list of first- and second-level neighbors of a LIST, using neighborList connectivity.  Excludes the source list\n",
    "    \"\"\"\n",
    "    firstList =  getAdjoiners(ULIST, UNITNBRS)\n",
    "    secondList = getAdjoiners(firstList, UNITNBRS)\n",
    "    twoLevelList = list( set(firstList + secondList).difference(set(ULIST) ) )\n",
    "    return twoLevelList\n",
    "\n",
    "def getContigFromStarter(starter, VLIST, NEIGHBORLIST):  #all contiguous units in VLIST, starting from starter unit\n",
    "    foundList, newList, prevList = [ starter ], [ starter ], [ starter ]\n",
    "    while len(newList) > 0:\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()        \n",
    "    return foundList   \n",
    "\n",
    "def isContiguous(VLIST,NEIGHBORLIST,returnBiggestPiece=False):\n",
    "    \"\"\"\n",
    "    This method determines if all items in a list form a continuous chain of neighbors based on the passed neighborlist\n",
    "    Empty lists are considered contiguous.  If discontiguous, a less-than-majority piece list is returned,\n",
    "     unless giveBig=True, in which case we return the biggest piece\n",
    "    \"\"\"    \n",
    "    isUnbroken, newList, foundList = True, list(), list()\n",
    "    if len(VLIST) > 0:\n",
    "        foundList, newList, prevList = [ VLIST[0] ], [ VLIST[0] ], [ VLIST[0] ]\n",
    "    while len(newList) > 0:  #this round's list of neighbors\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()      \n",
    "    pickedPieceList = foundList.copy()  #default contiguous sublist to pass back to main\n",
    "    \n",
    "    if len(foundList) < len(VLIST):  #not contiguous\n",
    "        isUnbroken  = False\n",
    "        pieceLists, remainingList = [foundList], list( set(VLIST).difference(set(foundList) ) )\n",
    "        if returnBiggestPiece == True:  #we were asked for the biggest piece, not a random small one, so we must find them all\n",
    "            if len(foundList) < 0.5*len(VLIST):\n",
    "                while len(remainingList) > 0:\n",
    "                    newList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                    pieceLists.append(newList)\n",
    "                    remainingList = list(set(remainingList).difference(set(newList)))\n",
    "                pieceLengths = [len(pL) for pL in pieceLists]\n",
    "                pickedPieceList = pieceLists[ pieceLengths.index(np.max(pieceLengths)) ]\n",
    "            \n",
    "        else: #quickly return a contiguous sub-list that's at most half the total units in the list\n",
    "            if len(foundList) > 0.5*len(VLIST): #pick a different piece; this one is the majority\n",
    "                pickedPieceList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                \n",
    "    return isUnbroken, pickedPieceList\n",
    "\n",
    "def enclaveCheck(UNITLIST,UNITNBRS,maxLoops=4):\n",
    "    \"\"\"\n",
    "    This method determines if a list of units has an unbroken boundary AND whether its complement has an unbroken boundary\n",
    "    If the complement boundary is broken, there is an enclave or the district is so disconnected its adjoining units aren't contiguous\n",
    "    The method returns contiguity of boundary and of its adjoiners.  Also returns the lists of boundary and complement-boundary units\n",
    "      If either of these is broken, only a contiguous sublist is returned that is guaranteed to be smaller than half (for finding enclaves)\n",
    "      maxLoops is the number of loops for expanding neighbors-of-neighbors for contiguity of the units outside the passed unit-list\n",
    "    \"\"\"\n",
    "    UNITSET = set(UNITLIST)\n",
    "    ADJLIST =  get2nbrs(UNITLIST, UNITNBRS)  #in case direct adjoiners are only queen-adjacent\n",
    "    #adjoinersOfAdjoiners = getAdjoiners(ADJLIST,  UNITNBRS)\n",
    "    #BDRYLIST = list( set(UNITLIST).intersection(set(adjoinersOfAdjoiners)) )  #this might fail for queen-adjacent boundary units\n",
    "    BDRYLIST = list (set(get2nbrs(ADJLIST,UNITNBRS)).intersection(UNITSET) )  #in case inHD boundary is only queen-adjacent\n",
    "    noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)  \n",
    "    unbroken, smallPieceList = isContiguous(BDRYLIST, UNITNBRS)\n",
    "    if not unbroken: #could be that district's boundary intersects the state boundary or there is a nonHD enclave inside the HD\n",
    "        unbroken, smallPieceList = isContiguous(UNITLIST, UNITNBRS)  #slower check for full district, not just its boundary \n",
    "    nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "    while nLoops <= maxLoops and not noEnclave:\n",
    "        nLoops +=1\n",
    "        newSet = set(ADJLIST)\n",
    "        for UU in ADJLIST:\n",
    "            newSet = newSet.union( set(UNITNBRS[UU]).difference(UNITSET) )\n",
    "        ADJLIST = list(newSet)\n",
    "        noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)\n",
    "    #isJiggy = noEnclave and unbroken\n",
    "    return unbroken, noEnclave, smallPieceList, enclaveList\n",
    "\n",
    "def getBdryNonEdgers(UNITLIST, UNITNBRS): #all in-district boundary units that neighbor a non-district unit\n",
    "    ALLnonHDnbrs = set()\n",
    "    for UUU in UNITLIST:\n",
    "        ALLnonHDnbrs = ALLnonHDnbrs.union(set(UNITNBRS[UUU])).difference(set(UNITLIST))\n",
    "    BdryNonEdgerSet = set()\n",
    "    for UUU in UNITLIST:\n",
    "        if len(set(UNITNBRS[UUU]).intersection(ALLnonHDnbrs)) > 0:\n",
    "            BdryNonEdgerSet.add(UUU)\n",
    "    return list(BdryNonEdgerSet)\n",
    "\n",
    "def getEnclaveLists(UNITLIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    finds ALL units enclaved by a UNITLIST, parsed into lists of contiguous pieces\n",
    "    We assume the largest contiguous complement to the UNITLIST is not an enclave, but rather the majority of the HD complement\n",
    "    if the UNITLIST's complement (all couldBeEnclaved) is contiguous, the returned list will be blank\n",
    "    \"\"\"\n",
    "    eSets, nU = list(), len(UNITNBRS)\n",
    "    offmapList = list()\n",
    "    for i,L in enumerate(UNITNBRS):\n",
    "        if len(L) == 0:\n",
    "            offmapList.append(i)  #offmap list are units with no neighbors (were surrounded)\n",
    "    complementSet = set([i for i in range(nU)] ).difference( set(UNITLIST + offmapList) )    \n",
    "    remaining2nbrs = get2nbrs(UNITLIST, UNITNBRS)\n",
    "    \n",
    "    isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS) #quicker than contig check on entire complement\n",
    "    while not isContig:  #this will kick out before writing the final sublist = map majority\n",
    "        starter = shortList[0]\n",
    "        newEnclaveList = getContigFromStarter(starter, list(complementSet), UNITNBRS)\n",
    "        eSets.append(set(newEnclaveList))\n",
    "        remaining2nbrs = list(set(remaining2nbrs).difference(set(shortList)) )\n",
    "        isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS)\n",
    "        \n",
    "        # couldBeEnclaved = list( set(couldBeEnclaved).difference(set(newEnclaveList)) )  #revised 18-Feb-24 -- was slower\n",
    "    fused_eSets = set()\n",
    "    for i, eSet in enumerate(eSets):\n",
    "        fused_eSets = fused_eSets.union(eSet)\n",
    "        for j in range(i+1, len(eSets) ) :\n",
    "            eSets[j] = eSets[j].difference(eSet)  #in case contiguity occurs, but not in 2-neighbor list; avoid double-count\n",
    "    remnant_eSet = complementSet.difference(fused_eSets) \n",
    "    eLengths = [len(eSet) for eSet in eSets]\n",
    "    if len(eSets) > 0:\n",
    "        if len(remnant_eSet) < np.max(eLengths):  #exchange the small remnant for the biggest found \"enclave\" (usually the major complement) \n",
    "            eSets[eLengths.index(np.max(eLengths))] = remnant_eSet.copy()\n",
    "    eLists = [list(eSet) for eSet in eSets]\n",
    "    return eLists\n",
    "\n",
    "def wontEnclave(proposedU, dList, NBRLIST, mapBDRYLIST):\n",
    "    \"\"\"\n",
    "    This method checks if adding a proposedU to a dList (list of units in a district) will create an \"enclave\" of units in the dList's complement\n",
    "    via two problems:  A) the dList will now have a discontiguous set of units on the map boundary.  The full map boundary list is mapBDRYLIST\n",
    "      B) The non-dList neighbors of dList units aren't contiguous\n",
    "    The method doesn't require that the dList wontEnclave without the proposedU included; it just checks the proposedU + dList combination\n",
    "    It also doesn't check that the dList is itself contiguous with or without proposedU\n",
    "    In that sense, it is more limited than enclaveCheck\n",
    "    \"\"\"\n",
    "    wontEnclave = True\n",
    "    newList, newSet = dList + [proposedU], set(dList + [proposedU])\n",
    "    unitsOnBoundary = list( set(mapBDRYLIST).intersection(newSet) )\n",
    "    wontEnclave, __ = isContiguous(unitsOnBoundary,NBRLIST)  #first check - does district touch MAP boundary in multiple places? (quick FAIL)\n",
    "    if wontEnclave: #slower check below for internal enclaves\n",
    "        adjoiners = get2nbrs(newList, NBRLIST)  #2-level to protect for queen adjacency in boundary        \n",
    "        wontEnclave, __ = isContiguous(adjoiners,NBRLIST)\n",
    "        if not wontEnclave:\n",
    "            nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "            maxLoops, ADJLIST = 6, adjoiners #unlike enclaveCheck, here we just arbitrarily set a number of loops for search expansion\n",
    "            while nLoops <= maxLoops and not wontEnclave:\n",
    "                nLoops +=1\n",
    "                adjSet = set(ADJLIST)  #align nomenclature w enclaveCheck\n",
    "                for UU in ADJLIST:\n",
    "                    adjSet = adjSet.union( set(NBRLIST[UU]).difference(set(newList)) )\n",
    "                ADJLIST = list(adjSet)\n",
    "                wontEnclave, __ =   isContiguous(ADJLIST, NBRLIST)\n",
    "        \n",
    "    return wontEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d041d328-83e0-45db-a869-e0956c23ee26",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the state postal code; e.g. OH  PA\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, enter 1 below to use pa_pl2020_vtd.dbf as this state's population data file\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "  1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempting to read in state unit geometries.  Stand by ...\n",
      "I read in the Census popn data. PA has 13002700 peeps and is divided into 9178 shapes.\n"
     ]
    }
   ],
   "source": [
    "STATE = str(input(\"Enter the state postal code; e.g. OH \")).upper()\n",
    "popFilename = STATE.lower()+\"_pl2020_vtd.dbf\"\n",
    "print(\"OK, enter 1 below to use\",popFilename,\"as this state's population data file\")\n",
    "enter1 = input(\" \")\n",
    "if int(enter1) != 1:\n",
    "    popFilename = input(\"OK, then enter the pop data file.  Typically a xx_pl2020_vtd.dbf\")\n",
    "print(\"attempting to read in state unit geometries.  Stand by ...\")\n",
    "tractPopFile = gpd.read_file(\"state_map_files/\"+popFilename)\n",
    "trueTractGeom = tractPopFile['geometry']\n",
    "nTracts = len(trueTractGeom)\n",
    "tractPop = tractPopFile['P0010001']\n",
    "statePop = np.sum(tractPop)\n",
    "censusGEOID20 = tractPopFile['GEOID20']\n",
    "print(\"I read in the Census popn data.\",STATE,\"has\",statePop,\"peeps and is divided into\",nTracts,\"shapes.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3bfdea9d-b0ea-497a-a556-6b488a3e333e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the number of districts in the state.  My guess is 17 17\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 67 counties in PA .  I will assign them county Nos 0 - 66\n"
     ]
    }
   ],
   "source": [
    "tractGeom = trueTractGeom.copy()   #for some states, we will modify geom, so preserve original\n",
    "#tractNAME20 = tractPopFile['NAME20']\n",
    "tractPop = tractPopFile['P0010001']\n",
    "inputfileCountyNo = tractPopFile['COUNTYFP20']\n",
    "vtdGEOID20 =  tractPopFile['GEOID20'] \n",
    "nDistricts = int(round(statePop/760000,0))\n",
    "nCutDistricts = 0\n",
    "nDistricts = int(input(\"Enter the number of districts in the state.  My guess is \"+str(nDistricts)))\n",
    "tractArea = [tractGeom[t].area for t in range(nTracts)]\n",
    "trueTractCP =   [tractGeom[t].centroid for t in range(nTracts)]\n",
    "tractCP = trueTractCP.copy()  #for some states, we move secluded corners into the map, so save the true data\n",
    "tractCPx =  [tractCP[t].x for t in range(nTracts)]\n",
    "tractCPy =  [tractCP[t].y for t in range(nTracts)]\n",
    "inputCountyNumbers = list()\n",
    "for t in range(nTracts):\n",
    "    if inputfileCountyNo[t] not in inputCountyNumbers:\n",
    "        inputCountyNumbers.append(inputfileCountyNo[t])\n",
    "nCounties = len(inputCountyNumbers)\n",
    "print(\"There appear to be\",nCounties,\"counties in\",STATE,\".  I will assign them county Nos 0 -\",int(nCounties-1))\n",
    "sortedICNs = list(np.sort(inputCountyNumbers))\n",
    "countyNo = [sortedICNs.index(inputfileCountyNo[t]) for t in range(nTracts) ]\n",
    "\n",
    "isSkippedTract = [0] *nTracts  #this will house a temporary list of tracts for manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "adffc7a4-a78c-477f-8ea4-7f8e5109fa2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now build the county-by-county geometries, hoping there are no islands\n",
      "Building county geom for county 0\n",
      "Building county geom for county 20\n",
      "Building county geom for county 40\n",
      "Building county geom for county 60\n",
      "Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop < 4.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 1 unpopulated coastal tracts.  Lets plot them and their parent counties\n"
     ]
    },
    {
     "data": {
      "image/png": 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luuHpj3Xh4n/qzYL9uvPfhmrFvAm2LisAANhdq0dY8vLytHTpUg0fPjywrKSkRCUlJXrwwQc1dOhQ7d69Wz/4wQ9UUlKiF1988ayv9ctf/lJLlizRU089pX79+unOO+/UlClT9OWXXyo2Nra1ETvU9rIq3fXa5/pwxyHl9EzSnf82VFeP7KnkuCiro7WIMewSAgDYT6sKS1VVlWbPnq0nnnhC999/f2B5Tk6OXnrppcD9AQMG6IEHHtB3vvMd1dXVye0+89sZY/Twww/rZz/7ma666ipJ0tNPP620tDS9+uqruuaaa1oTMbjO8hnu9Rmt3VqmZ9bt1pqt5erZOU5/vO48XZrVPeR2sbgd/p+Nz/gsTgIAwJlaVVjmzp2r6dOnKzc3t15haUhFRYWSkpIaLCuSVFRUpNLSUuXm5gaWJScna8yYMVq3bl2DhaW6ulrV1dWB+x6PpzVvo9XqvD49s363nny/SHuPnFBOzyQtnjlMV4/sqRi3q0OzBIvL6c99+ORhVVQ3vgtPklwOl2LcMYpyhtYIEgAgNLW4sDz33HPKz89XXl5ek+sePHhQ9913n2688cazrlNaWipJSktLq7c8LS0t8NjXLVq0SAsXLmxB6rbyD7GcqPHqtU379OT7RdpRXqWrR/TUI9/uq3N7JYfciMrXnRphWfTRIi36aFGznpMalaRV598tp6NNh0LBakZnTjfU0LKOdLZMreFo5nOb+/0a2y6nP+ds65kmHg8Wq3+GHaWhn9PpP3Orf4/7XyK5+I9dMLSosBQXF+vWW2/VypUrmzy2xOPxaPr06Ro6dKjuueeetmQ8w4IFCzR//vx63yszMzOo3+N0Pkm/frtQT6/bLc/JWl2W1V0PfWuEhvVKbrfv2dFcTpf+fMWfVXa8LLDs9AOOT//aJ5/Wl6zX81uflxkwSXKG5qgSALSr2pPSl69Jw75pdZKw0KLCsnHjRpWVlWnUqFGBZV6vV++++64eeeQRVVdXy+VyqbKyUlOnTlViYqJeeeUVRUWdvV2mp/snUDtw4IB69OgRWH7gwAGNGDGiwefExMQoJiamJdFbzWek49V1+v2aHfruuD76fxf1U2ZX66/50x7OTT232etW1lRKW8XoCgCcTVSsFBs+/7G1WosKy6RJk1RQUFBv2Zw5c5Sdna3bb79dLpdLHo9HU6ZMUUxMjJYvX97kSEy/fv2Unp6u1atXBwqKx+PRhg0bdNNNN7Xs3bSDlIRonfC69ddbLlZWeqLVcWzj1MG5ob4rDADa1ckKyedlJDoIWlRYEhMTlZOTU29ZQkKCUlJSlJOTI4/Ho8mTJ+v48eP685//LI/HEzggNjU1VS6X/weWnZ2tRYsWacaMGYF5XO6//34NGjQocFpzRkaGrr766uC8yzbI7BqvuNhOlJWvMTItmqMGACLS4KlSwYvSsH+XnIxIt0VQZ7rNz8/Xhg0bJEkDBw6s91hRUZH69u0rSSosLKw3mdxtt92mY8eO6cYbb9TRo0c1fvx4rVixImTmYIlExhhGVwCgKTGdpKyp0u73pR7nSsZIcZ2tThWS2lxY1qxZE/h64sSJzZp47OvrOBwO3Xvvvbr33nvbGgcdxBgjZ9smSgaAyBCb7C8qm1+X4lOkrGlWJwpJXEsIreKTLzJOmQSAYOh/if/PHe9Ih3dKXftbmycE8V9ktIoxHMMCAC024FLp0A6rU4QkCkszmFbPWBW+jAynNANAa3D8X6vwiYNWYYQFAFrJGMnHddtaisKCVjHiLCEAaJWMUdK+jVanCDkUFrSKz/gYYQGA1vDVSexSbzG2GFqNY1gAoBWOFEndBja9HurhEwetwggLALRSxij/nCzeOquThBQKC1rFyDAPCwC0hjtaSuop1Z2sv/zUpKoc39IgJo5DqxjDac0A0Go1VVL5FslTImVPlwpekKI7SVFxkmeff2K5uC5Wp7QVCkszVNUdV0F5gf8D2iE55ZTD4ZBDDjkcjq/un1omh5wOZ+DxeuuceuxfZ9gYY2RkAlc/9hnfV/eNAl8bmXrrnn7fGOOfedZ87fmnvd7X1zXmzNc7tb7XeGWMCfxpZLSiaIWGpQ7ToM6DFOWKUnFlMbuEAKC1Bub6r+ScMlD69FnpnBlSdIJU/JE0aLJUsZfC8jUUliYkRiVos2eXvv3mt62OYrl/Fv+z3v3MxEyLkgBAiIuK898kaeR3vlqeeYF/jpZd70tHiyXjkzJGSkkZET/hnMM052qFNufxeJScnKyKigolJSUF9bVrju7RrvLPZVIGSPKPQDQ1mnG20ZLAyMZpIx6nj8Q49a8RnFPL5DhjVOaMUZ2vrSN99fxTI0JnjPg0cN/h+Or5Locr8P2ccsrpcOpE3QlJ/hGfGm+Narw16hLbRckxyUHd3gCA05w46j+rqPak1Gec1WmCriWf34ywNCHaFa3Bib2lrllWR7FUfFS81REAIPLEdZacg6TSz6xOYjmOmgQAwO5OeqxOYDlGWAAAsLOYTlK3QdLmN6TOmVJUvP9+hGGEBQAAu0sZIPW7WIrtLB3ZbXUaS1BYmiXkj0sGAIS62pNS2ZdSYrrVSSzBLqEmRfZpZAAAG/D5pD3rpKxpkjvG6jSWYIQFAAC7K/vSP0dLhJYVicICAID9VR2QErpL3lqp9oTVaSzBLiEAAOyuz0XSjtWSK1qqrpQyRkide1udqkNRWAAAsLuoWGnwlK/uF66IuMLCLiEAAEKNI/I+viPvHbdG6F9uCQAQTpyR9/Edee+4pSL86pgAANgBhQUAgFAUYaP/FBYAAEJJdZXkcEmV+61O0qEoLAAAhJId/5TiOkvx3axO0qEoLAAAhJLeY/2jLO5oq5N0KApLs0TWfkIAgI116i7VVFmdosNRWJrEWUIAAJuJSZRqjlmdokNRWAAACDXHyqWoeKtTdCgKCwAAocbplupOWp2iQ1FYAAAINf0vlUo+sTpFh6KwAAAQamI6cQwLAACwuboa/26hCEJhaY4Im/4YAGBzrijJ57U6RYeisDSFix8CAOzG4ZCMz+oUHYrCAgBAqMl/RnJF1i6hyHq3AACEuvxnpF7nSd2HWJ2kQzHCAgBAKIlNklIGWp2iw1FYAAAIJYOnSVveiLgTQigsAACEEne0lDlW2v2h1Uk6FIUFAIBQk9Qj4q7YTGFplsgadgMAhIBug6RtK61O0WEoLE1iHhYAgA117S91Hyrty7c6SYegsAAAEKqSe0rHDlqdokNQWAAACFXVVVJtZFwEsU2FZfHixXI4HJo3b15g2R/+8AdNnDhRSUlJcjgcOnr0aJOvc88998jhcNS7ZWdntyUaAADhz1creev8tzDX6sKSl5enpUuXavjw4fWWHz9+XFOnTtUdd9zRotc755xztH///sDt/fffb200AAAiQ1wXacg3/POyhLlWTc1fVVWl2bNn64knntD9999f77FToy1r1qxpWRC3W+np6a2JAwBA5IqKlaLirE7R7lo1wjJ37lxNnz5dubm5QQuybds2ZWRkqH///po9e7b27NkTtNcGACCsuWOlrW9JR8P3s7PFIyzPPfec8vPzlZeXF7QQY8aM0Z/+9CdlZWVp//79WrhwoS6++GJ9/vnnSkxMPGP96upqVVdXB+57PJ6gZQEAIOT0v8T/57ZVUufe1mZpJy0qLMXFxbr11lu1cuVKxcbGBi3EtGnTAl8PHz5cY8aMUZ8+ffT888/r+uuvP2P9RYsWaeHChUH7/k2KsOs1AABCkLdWcobvyb8temcbN25UWVmZRo0aJbfbLbfbrbVr12rJkiVyu93yer1BCdW5c2cNHjxY27dvb/DxBQsWqKKiInArLi4OyvdtkIOJ4wAAIaDupL+0GCMdLZYKV0hlm61OFTQtGmGZNGmSCgoK6i2bM2eOsrOzdfvtt8vlcgUlVFVVlXbs2KHvfve7DT4eExOjmJiYoHwvAADCQkyilDJQ2r5Kiu4kZU2VDnwhff6SNORKyRVldcI2aVFhSUxMVE5OTr1lCQkJSklJCSwvLS1VaWlpYHSkoKBAiYmJ6t27t7p27SrJX3xmzJihH/7wh5KkH//4x/rGN76hPn36qKSkRHfffbdcLpeuvfbaNr9BAAAiRsoA/+2UtHP8B+Qe3VN/eQgK+s6uxx9/XCNHjtQNN9wgSZowYYJGjhyp5cuXB9bZsWOHDh78airhvXv36tprr1VWVpa+9a1vKSUlRevXr1dqamqw4wEAEFm69JNKC6SyLVYnaROHMaF/RKnH41FycrIqKiqUlJQU3Bc/flg6skvqOSq4rwsAQEcqXOHfTWQjLfn8btXEcQAAIIQc2S3VVPlLi+Q/oWTwFOlkhbR9tZQxwn/1ZxujsAAAEO669PEflBvXxV9Wqsr9B+P6vNKwf5e2raxfWE4c8Z9tFN/VusxfQ2FplpDfawYAiHSnl49OqdKQqySH86vpO4relWqOScbnn+rfW+sfhbEJCgsAAJHIdVoFGJjr32UU+6/jSIzxj7rYSPhOiQcAAJrH6fyqrEjS4Z1S137W5WkAhQUAANSXlCGVF9rq0jQUFgAAUF9UnNTrPP+BuZUHrE4jicICAAAakpgu5cyS9m+yOokkCgsAADgbh8M/tX9lqdVJKCwAAKAR/S+Rdn8g+XyWxqCwAACAs/P5JG+d1SmYh6VZ7HOQNAAA7a+6yj+J3MGtUrVHGvJv/lOfLURhacqpGQABAIgEW96U4jpL0Z2k9GH+r22AwtIsDLEAACJAdaUUnSD1udDqJGegsDSJERYAQJirOSbt/tB/9eZzZlidpkEUFgAAIt2u96X+l0ruaKuTnBVnCTWHjaYmBgAg6Lw1Ut1Jq1M0isLSFA66BQCEs8J/SL3Or3/xQxuisAAAEImMkb5cLmWM9E/Db3MUlmZhlxAAIMzsy/ePrIRAWZEoLM3ALiEAQBiqOiAl9bA6RbNRWAAAiDSe/VJShtUpWoTC0hycJQQACCdlX/hnsQ0hFJamcJYQACCcVB7wTxTndFmdpEUoLAAARJL9m6ShV1mdosUoLM3CLiEAQJgI0cMcKCxNYpcQACCMGK/VCVqFwtIcIdpGAQA4Q4h+plFYmuKrk5xcIxIAEAa8tZIryuoUrUJhaQ7OFAIAhINd70n9JlidolUoLAAARApvrRQVZ3WKVqGwAAAQCU4claI7WZ2i1SgsAABEgp1rpN7jrE7RahQWAADC3b58/1T8ztD92A/d5AAAoHmqDkgpA6xO0SYUFgAAwlnRe1LGSKtTtBmFpTlCdJIdAECEO7JbcsdIielWJ2kzCktTmIMFABCKygv9t8wLrE4SFBQWAADCTXmh/zTmwZOtThI0zDkPAEC48Hml/ZukE0ekgblWpwkqRlgAAAgXn78kJfYIu7IiUVgAAAgPZZulXuf7C0sYorAAABAOygul0s+kz/5mdZJ2wTEsAACEg34TpLIvpdhkq5O0CwpLszAPCwDAxir2Sfs+9k+/37W/1WnaBYWlWZiLBQBgU4eLpCO7pKFXWZ2kXXEMCwAAoezgVmnApVanaHcUlqYwLT8AwK68tVYn6DAUluZgen4AgB1te1vqd4nVKTpEmwrL4sWL5XA4NG/evMCyP/zhD5o4caKSkpLkcDh09OjRZr3Wo48+qr59+yo2NlZjxozRRx991JZoAACEt51rpaQMKSrW6iQdotWFJS8vT0uXLtXw4cPrLT9+/LimTp2qO+64o9mv9be//U3z58/X3Xffrfz8fJ177rmaMmWKysrKWhsPAIDwdNIjffGq/2ygjJFWp+kwrSosVVVVmj17tp544gl16dKl3mPz5s3TT3/6U40dO7bZr/fQQw/phhtu0Jw5czR06FA9/vjjio+P1x//+MfWxAMAIPwYI21b6T99eciVUudMqxN1qFYVlrlz52r69OnKzW37tQpqamq0cePGeq/ldDqVm5urdevWtfn1AQAIebUn/NcJyrxAGnCZ5Iy8Q1BbPA/Lc889p/z8fOXl5QUlwMGDB+X1epWWllZveVpamrZs2dLgc6qrq1VdXR247/F4gpIFAADbKdsiHSmSzpkhOV1Wp7FMiypacXGxbr31Vv3lL39RbKx1B/ksWrRIycnJgVtmZmQNiwEAIkR5oVR7TMqaFtFlRWphYdm4caPKyso0atQoud1uud1urV27VkuWLJHb7ZbX621xgG7dusnlcunAgQP1lh84cEDp6ekNPmfBggWqqKgI3IqLi1v8fQEAsL2jxVLP0VansIUWFZZJkyapoKBAmzZtCtzOO+88zZ49W5s2bZLL1fL2Fx0drdGjR2v16tWBZT6fT6tXr9a4ceMafE5MTIySkpLq3QAACDvGZ3UC22jRMSyJiYnKycmptywhIUEpKSmB5aWlpSotLdX27dslSQUFBUpMTFTv3r3VtWtXSf7iM2PGDP3whz+UJM2fP1/f+973dN555+mCCy7Qww8/rGPHjmnOnDltfoMAAISspB5SwYvSsG9ancRyQb/44eOPP66FCxcG7k+YMEGStGzZMl133XWSpB07dujgwYOBdf7jP/5D5eXluuuuu1RaWqoRI0ZoxYoVZxyICwBAREkfJlWWWp3CFhzGhP7Fcjwej5KTk1VRURH83UMnjkqHtku9zgvu6wIA0BylBVJUvJQywOokQdeSz+/IO5EbAIBQkj7Mf7ZQhKOwAABgd/EpUlW51SksRWEBAMDuMi+Qdn9gdQpLUVgAALA7h0PqPVbavsrqJJahsAAAEAoS06XYzhF71hCFBQCAUJGaLR0usjqFJSgsAACEiphO0okjVqewBIUFAIBQEpMoVR5oer0wQ2FpjtCfWw8AEC76XSztWWd1ig5HYWmKw2F1AgAA6ktMl44ftjpFh6KwAAAQSrx1UsVeKa6L1Uk6VNAvfggAANrB4SLp0A7p+EGp78URtweAwgIAQCgoL5Sypvp3BcV3tTpNh2OXEAAAoSA6QarYF5FlRaKwAAAQGvpdLJV+ZnUKy1BYAAAIBQe3S8mZVqewDIUFAAC7M0Yq+1JKz7E6iWUoLAAA2N2RIqn7UKtTWIrCAgCAnVVXScV5UsoAq5NYisICAIBd1Z6Utq6QzpkRcfOufB3zsAAAYCeF/5AcLklGqiyVRnxbckVZncpyFBYAAOzC5/WXk4G5ViexHXYJAQBgBz6ftPl1KWOU1UlsiREWAADsYNe70sBJUkyi1UlsiREWAADsIKmXdGSX1Slsi8ICAIAddBsoHdltdQrborA0i7E6AAAgEnA20FlRWJoU2ee9AwA6SM0x/xT8aBCFBQAAO9j1gTRostUpbIvCAgCAHTgckpOP5bNhywAAYAscgtAYCgsAAHZQUyl5a61OYVsUFgAA7GBgrrTrPWnX+1YnsSVmugUAwA5iEqWoeKlzb6uT2BIjLAAA2MHBbZIzSkrKsDqJLVFYAACwg0PbpV6jrU5hWxQWAADswBgOum0EhQUAADvof4m0Z73VKWyLwgIAgB1EJ0jeaqtT2BaFBQAAO/jyNanrAKtT2BaFBQAAO3BGSV37WZ3CtigsAADYQfchUnmh1Slsi8ICAIAddO4tVRRbncK2KCwAANjByQopupPVKWyLqfmbwxirEwAAwt2RIimp52n3d0sHt0ruGClzjP/PCEZhaQ4Hl/wGALSznqOlwn9IVWVSTZXkdEuDLpdqT0jbV0td+khp51id0jIUFgAA7CJrmlRVLkXF+i+GKElRcVL2Ff6rOFeWSonp1ma0CMewAABgJ51Svyorp+s7Xtr9geTzdnwmG6CwAAAQKgZPk7b83eoUlqCwAAAQKqLjpah4q1NYok2FZfHixXI4HJo3b15g2cmTJzV37lylpKSoU6dOmjVrlg4cONDo61x33XVyOBz1blOnTm1LNAAAwlOEngfS6sKSl5enpUuXavjw4fWW/+hHP9Lrr7+uF154QWvXrlVJSYlmzpzZ5OtNnTpV+/fvD9yeffbZ1kYDACCMOSSfz+oQHa5VhaWqqkqzZ8/WE088oS5dugSWV1RU6Mknn9RDDz2kyy67TKNHj9ayZcv04Ycfav36xi+ZHRMTo/T09MDt9NcFAAD/EhUv1R63OkWHa1VhmTt3rqZPn67c3Nx6yzdu3Kja2tp6y7Ozs9W7d2+tW7eu0ddcs2aNunfvrqysLN100006dOjQWdetrq6Wx+OpdwMAICLEJvtnxY0wLZ6H5bnnnlN+fr7y8vLOeKy0tFTR0dHq3LlzveVpaWkqLS0962tOnTpVM2fOVL9+/bRjxw7dcccdmjZtmtatWyeXy3XG+osWLdLChQtbGh0AgNCX0E2q3C8l92x63TDSosJSXFysW2+9VStXrlRsbGzQQlxzzTWBr4cNG6bhw4drwIABWrNmjSZNmnTG+gsWLND8+fMD9z0ejzIzM4OWBwAA2/LWSK7Im6a/RbuENm7cqLKyMo0aNUput1tut1tr167VkiVL5Ha7lZaWppqaGh09erTe8w4cOKD09ObPzNe/f39169ZN27dvb/DxmJgYJSUl1bu1K64lBACwi8oD/lGWCNOiEZZJkyapoKCg3rI5c+YoOztbt99+uzIzMxUVFaXVq1dr1qxZkqTCwkLt2bNH48aNa/b32bt3rw4dOqQePXq0JF77cDglE3lHYwMAbOrEEanXaKtTdLgWFZbExETl5OTUW5aQkKCUlJTA8uuvv17z589X165dlZSUpJtvvlnjxo3T2LFjA8/Jzs7WokWLNGPGDFVVVWnhwoWaNWuW0tPTtWPHDt12220aOHCgpkyZEoS32EZOt2QicxpkAIAdReaof9Avfvib3/xGTqdTs2bNUnV1taZMmaLHHnus3jqFhYWqqPAf4exyufTZZ5/pqaee0tGjR5WRkaHJkyfrvvvuU0yMDfbROd2Sr87qFAAA+EXoYQoOY0L/nXs8HiUnJ6uioiL4x7MYI+1YLQ3MbXpdAADa2/bVUr9LJFfQxxw6XEs+v7mWUFMcEToHMgDAnlIGSod3WJ2iw1FYAAAIJZ17S0eLrU7R4SgsAACEEodDOnlUqqu2OkmHorAAABBqhlwpbXtbOrRDqjkmbVslbX5dqj1pdbJ2E/pH7LS30D8mGQAQbtzR0pBvSCWbpIq9Ur8JktMlFf5D6tpfShtqdcKgY4SlKcb4J48DAMBuMkZI/S/xFxinSxryb9LRPZIv/CY85ZO4KcZHYQEAhI6MEVLpZ1anCDo+iZtifJI4tRkAECIS06WqMqtTBB2FpUnsEgIAwGp8EjeFXUIAgFDTKdV/VecwwidxU4yP2W4BAKElbZhU9oXVKYKKwtIUzhICAIQal1vy1lqdIqj4JG4KB90CAEJRTJJ0eKfVKYKGwtIkwy4hAEDo6TPOX1gq9lmdJCgoLM1CYQEAhKCBuVL5ZmnnmpDfRURhAQAgnA3MlXqdL33xSkhfa4jCAgBAuItOkM6ZKW15I2SvkUdhaUqI/mABAKjH5ZYGXCbtes/qJK1CYQEAIFLEd5Wqq6xO0SoUFgAAIklqllReaHWKFqOwAAAQSVIGSIeLrE7RYhSWJnEMCwAgDIXYMZoUluZg4jgAQDhJz5H25VudokUoLAAARJrkXv5Lz+xca3WSZqOwAAAQiTLPl7oPlT5/WaoqtzpNkygsAABEqk6p0jkzpIOFUvFHVqdpFIUFAIBI5nBIfcdLscnSng1WpzkrCgsAAPDPz3LyqOStszpJgygsAADAr89F0u73rU7RIAoLAADwi+kk1VVbnaJBFBYAAPCVxB5SaYHVKc5AYQEAAF/pMVxyRUs711idpB4KCwAAqC81S3I4pZMeq5MEUFiahan5AQARps94afeHVqcIoLA0JcQuDgUAQFA4nZLTbXWKAAoLAAA4U/FHUpc+VqcIsE91AgAA1vL5pJ3vSN4aqXNvqdsgqxMFUFgAAIhURe9KNcektHOkmERp2yop+wopOsHqZGdglxAAAJHopMd/JlDWNOlkhVSySRr2TVuWFYkRFgAAItPej6R+E/1fpw+zMkmzMMICAECk8dZJ1ZWSK3TGLUInKQAAaLvqKqnwH9KQb1idpEUoLAAARIq6Gmnz69Lwb0lOl9VpWoTCAgBAuDuyWzrwueSO8Y+shFhZkSgszcPM/ACAUFP6uXR0j+SKkpJ7SVlXSI7Q/UCjsAAAEE6Mkba+JXXp659TJUxQWAAACBe1J/3HqAyeIsUmWZ0mqCgsAACEA5/XX1ZyZobkMSpNYR4WAABCnTHSl6+G7AG1zdGmwrJ48WI5HA7NmzcvsOzkyZOaO3euUlJS1KlTJ82aNUsHDhxo9HWMMbrrrrvUo0cPxcXFKTc3V9u2bWtLNAAAIseWv0sDLpOiYq1O0m5aXVjy8vK0dOlSDR8+vN7yH/3oR3r99df1wgsvaO3atSopKdHMmTMbfa1f/vKXWrJkiR5//HFt2LBBCQkJmjJlik6ePNnaeAAAhL+yzdLmN6Re50lxXaxO065aVViqqqo0e/ZsPfHEE+rS5asNVFFRoSeffFIPPfSQLrvsMo0ePVrLli3Thx9+qPXr1zf4WsYYPfzww/rZz36mq666SsOHD9fTTz+tkpISvfrqq616UwAAhDWfVyp48V/zqvyblJhudaJ216rCMnfuXE2fPl25ubn1lm/cuFG1tbX1lmdnZ6t3795at25dg69VVFSk0tLSes9JTk7WmDFjzvqc6upqeTyeejcAACLGjnf886p07W91kg7T4rOEnnvuOeXn5ysvL++Mx0pLSxUdHa3OnTvXW56WlqbS0tIGX+/U8rS0tGY/Z9GiRVq4cGFLowMAEB6MV4qOtzpFh2rRCEtxcbFuvfVW/eUvf1FsrHUH9ixYsEAVFRWBW3FxsWVZAADoUHs2SGk5VqfocC0qLBs3blRZWZlGjRolt9stt9uttWvXasmSJXK73UpLS1NNTY2OHj1a73kHDhxQenrD+9dOLf/6mUSNPScmJkZJSUn1bu0rdKcyBgCEiSO7pMIV/5pqv6fVaTpciwrLpEmTVFBQoE2bNgVu5513nmbPnh34OioqSqtXrw48p7CwUHv27NG4ceMafM1+/fopPT293nM8Ho82bNhw1ucAABAxKkulL16Vak9IWVOlnqOsTmSJFh3DkpiYqJyc+sNQCQkJSklJCSy//vrrNX/+fHXt2lVJSUm6+eabNW7cOI0dOzbwnOzsbC1atEgzZswIzONy//33a9CgQerXr5/uvPNOZWRk6Oqrr277OwQAIFQd3um/0vI5V1udxHJBn5r/N7/5jZxOp2bNmqXq6mpNmTJFjz32WL11CgsLVVFREbh/22236dixY7rxxht19OhRjR8/XitWrLD0OBkAACx3cJv/ukCQwxhjrA7RVh6PR8nJyaqoqAj+8SzHD/v3G0boEBwAwELbVkmDcpteL0S15PObawk1JfT7HAAAIY/CAgCAbfGf5lMoLAAA2BWj/AEUFgAA7Co+RTp2yOoUtkBhAQDArk4eCfurMDcXhaU5HMx0CwCwQO0JyclHtdQO87AAAIBWOjWVxokjUnWl1Ot8qxPZBoUFAAA72LlGckVL3bKkHudKTpfViWyFwgIAgNW2vi11HyJ1zrQ6iW1RWAAAsMqxQ1LRWqnveKlTd6vT2BqFBQCA9mKMVF4oeau/WlZXLZ2skHxe/xlA58zg5I5moLAAAPB1xkjeGsnpbv2xJId2SGVfSunD/POpnOKOlmKTg5MzglBYAAA48IVUse9fIx0OySH/AbC+Osnnk4zPv15skv/MnaZKzMFtUuV+acg32jt5xKCwNIlpkQEgLBkjFb0r1R6Xug+VBk9u+jknjkjbV0vGK/W5yF9gvu7QDn9Z6Tch+JkjGIUFABB5Dm6Tyjb7S0Vc5+Y/L66Lv9j4fFLRGkkOqf/Er45BObJLOrpHGnBp0CNHOqbPAwBElp1rpJpj0tArW1ZWTud0SgMu88+XUvCif0ba8q3S4SLKSjuhsDQLR28DQMgzRtr8htRtsJQxIjivGd9VypkpbVvpn5mWstJu2CUEAIgMW9+Seo+TElKaXrclnC7/aA3aFSMsAIDwt2e91D07+GUFHYbCAgAIb5Wl/tOTu/S1OgnagMICAAhvxRv8U98jpFFYAADhq+QTqccIq1MgCCgsAIDw5SmRuvSxOgWCgMICAAhP5YVStyyrUyBIKCwAgPB0ZJfUbaDVKRAkzMOC8GVM/T/VwP3GHguar008WO8y8s187IxLzzfyGJepB/x/lw3XggsnFJamxCRKnn3SsYNte52GPkPMaY819+8Vn0Ut9K8NFvgQb+B+Y4+12dd+sPX+AW3mY2f8o9vMx0LB6X8HwtXxw/7ZUCX/+23Je/36j9PRyGN219E/YyMp84IO/qZoTxSWprhjpOzpVqcAACCicQwLAACwPQoLAACwPQoLAACwPQoLAACwPQoLAACwPQoLAACwPQoLAACwPQoLAACwPQoLAACwPQoLAACwPQoLAACwPQoLAACwPQoLAACwPQoLAACwPbfVAYLBGCNJ8ng8FicBAADNdepz+9TneGPCorBUVlZKkjIzMy1OAgAAWqqyslLJycmNruMwzak1Nufz+VRSUqLExEQ5HA6r43Qoj8ejzMxMFRcXKykpyeo4IYPt1nJss5Zjm7UO263lQnWbGWNUWVmpjIwMOZ2NH6USFiMsTqdTvXr1sjqGpZKSkkLql9Qu2G4txzZrObZZ67DdWi4Ut1lTIyuncNAtAACwPQoLAACwPQpLiIuJidHdd9+tmJgYq6OEFLZby7HNWo5t1jpst5aLhG0WFgfdAgCA8MYICwAAsD0KCwAAsD0KCwAAsD0KCwAAsD0KSwjbunWrrrrqKnXr1k1JSUkaP3683nnnnXrr7NmzR9OnT1d8fLy6d++un/zkJ6qrq7MosbXWrFkjh8PR4C0vLy+w3vPPP68RI0YoPj5effr00a9+9SsLU1uvudvtrbfe0tixY5WYmKjU1FTNmjVLu3btsi64hZqzze65554GH09ISLA4vTWa+3tmjNGDDz6owYMHKyYmRj179tQDDzxgYXJrNWe77dq1q8HH169fb3H6FjIIWYMGDTJXXHGF+fTTT83WrVvNf//3f5v4+Hizf/9+Y4wxdXV1Jicnx+Tm5ppPPvnEvPnmm6Zbt25mwYIFFie3RnV1tdm/f3+92/e//33Tr18/4/P5jDHGvPnmm8btdpvf//73ZseOHeaNN94wPXr0ML/73e8sTm+d5my3nTt3mpiYGLNgwQKzfft2s3HjRjNhwgQzcuRIi9NboznbrLKy8ox1hg4dar73ve9ZG94izdlmxhhz8803m6ysLPPaa6+ZnTt3mo8//ti8/fbbFia3VnO2W1FRkZFkVq1aVW+9mpoai9O3DIUlRJWXlxtJ5t133w0s83g8RpJZuXKlMcb/4et0Ok1paWlgnd///vcmKSnJVFdXd3hmu6mpqTGpqanm3nvvDSy79tprzTe/+c166y1ZssT06tWr3j+akayh7fbCCy8Yt9ttvF5vYNny5cuNw+EIuX8U20ND2+zrNm3adMbf6UjW0Db78ssvjdvtNlu2bLEwmb01tN1OFZZPPvnEumBBwC6hEJWSkqKsrCw9/fTTOnbsmOrq6rR06VJ1795do0ePliStW7dOw4YNU1paWuB5U6ZMkcfj0RdffGFVdNtYvny5Dh06pDlz5gSWVVdXKzY2tt56cXFx2rt3r3bv3t3REW2poe02evRoOZ1OLVu2TF6vVxUVFXrmmWeUm5urqKgoC9PaQ0Pb7Ov+7//+T4MHD9bFF1/cgcnsq6Ft9vrrr6t///5644031K9fP/Xt21ff//73dfjwYQuT2ktjv2tXXnmlunfvrvHjx2v58uUWpGsjqxsTWq+4uNiMHj3aOBwO43K5TI8ePUx+fn7g8RtuuMFMnjy53nOOHTtmJJk333yzo+PazrRp08y0adPqLVu6dKmJj483q1atMl6v1xQWFprs7GwjyXz44YcWJbWXhrabMcasWbPGdO/e3bhcLiPJjBs3zhw5cqTjA9rQ2bbZKSdOnDBdunQxv/jFLzowlb01tM3+67/+y8TExJgxY8aYd99917zzzjtmxIgR5tJLL7Uopf00tN3Ky8vNr3/9a7N+/Xrz0Ucfmdtvv904HA7z2muvWZSydSgsNnP77bcbSY3eNm/ebHw+n7nyyivNtGnTzPvvv282btxobrrpJtOzZ09TUlJijImcwtLcbXa64uJi43Q6zYsvvlhvuc/nM7fddpuJjY01LpfLdOnSxdxzzz1Gklm/fn1Hvq12F8zttn//fjNo0CDzk5/8xOTn55u1a9eaSy65xEyaNCmsdqUFc5ud7q9//atxu931dt+Gi2BusxtuuMFIMoWFhYFlGzduNJLCbjdRe/2unfLd737XjB8/vr3itwum5reZ8vJyHTp0qNF1+vfvr/fee0+TJ0/WkSNH6l1KfNCgQbr++uv105/+VHfddZeWL1+uTZs2BR4vKipS//79lZ+fr5EjR7bX2+hQzd1m0dHRgfv33Xeffve732nfvn0N7rLwer0qLS1VamqqVq9erSuuuEJlZWVKTU0Nen6rBHO73XnnnVqxYkW9szn27t2rzMxMrVu3TmPHjg3+G7BAe/yuSdKkSZOUlJSkV155Jah57SCY2+zuu+/Wz3/+c9XW1gaWnThxQvHx8Xr77bd1+eWXB/8NWKS9ftdOefTRR3X//fdr//79QcnbEdxWB0B9qampzfpQPH78uCTJ6ax/GJLT6ZTP55MkjRs3Tg888IDKysrUvXt3SdLKlSuVlJSkoUOHBjm5dZq7zU4xxmjZsmX6z//8z7P+pXa5XOrZs6ck6dlnn9W4cePCqqxIwd1ux48fP+N30eVySVLg9zEctMfvWlFRkd55553QPKagGYK5zS666CLV1dVpx44dGjBggCT/9A6S1KdPn+CFtoH2+F073aZNm9SjR4+2ROx4Fo7uoA3Ky8tNSkqKmTlzptm0aZMpLCw0P/7xj01UVJTZtGmTMear05onT55sNm3aZFasWGFSU1Mj9rTmU1atWtXgcKox/u36+9//3mzevNl88skn5pZbbjGxsbFmw4YNFiS1l8a22+rVq43D4TALFy40W7duNRs3bjRTpkwxffr0McePH7cgrT00ts1O+dnPfmYyMjJMXV1dByazr8a2mdfrNaNGjTITJkww+fn55uOPPzZjxowxl19+uQVJ7aWx7fanP/3J/PWvfzWbN282mzdvNg888IBxOp3mj3/8owVJW4/CEsLy8vLM5MmTTdeuXU1iYqIZO3bsGcem7Nq1y0ybNs3ExcWZbt26mf/5n/8xtbW1FiW2h2uvvdZceOGFDT5WXl5uxo4daxISEkx8fLyZNGlS2B270lqNbTdjjHn22WfNyJEjTUJCgklNTTVXXnllox/UkaCpbeb1ek2vXr3MHXfc0YGp7K2pbbZv3z4zc+ZM06lTJ5OWlmauu+46c+jQoQ5MaE+Nbbc//elPZsiQISY+Pt4kJSWZCy64wLzwwgsdnLDtOIYFAADYHvOwAAAA26OwAAAA26OwAAAA26OwAAAA26OwAAAA26OwAAAA26OwAAAA26OwAAAA26OwAAAA26OwAAAA26OwAAAA26OwAAAA2/v/Z4Y2EJQWRAAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"We will now build the county-by-county geometries, hoping there are no islands\")\n",
    "skipList = list()  #a list of units we previously know to skip in the map\n",
    "isAlteredCounty = [False for c in range(nCounties)]\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "countyPop =       [0. for c in range(nCounties)]\n",
    "countyGeom =      [dummyPoly for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    if t not in skipList:\n",
    "        c = countyNo[t]\n",
    "        countyTractList[c].append(t)\n",
    "        countyPop[c] += tractPop[t]\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Building county geom for county\",c)\n",
    "    for t in countyTractList[c]:\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            countyGeom[c] = tractGeom[t]\n",
    "        else:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "origMAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    origMAP = origMAP.union(countyGeom[c])\n",
    "    if countyGeom[c] == dummyPoly:\n",
    "        print(\"WARNING! county\",c,\"is empty!\")\n",
    "    else:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "minTractPop = 4.5\n",
    "print(\"Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop <\",minTractPop)\n",
    "plt.show()\n",
    "if origMAP.geom_type == dummyPoly.geom_type:\n",
    "    mapExterior = origMAP.exterior\n",
    "else:\n",
    "    for i,geo in enumerate(origMAP.geoms):\n",
    "        if i == 0:\n",
    "            mapExterior = geo.exterior\n",
    "        else:\n",
    "            mapExterior = mapExterior.union(geo.exterior)\n",
    "\n",
    "for c in range(nCounties):\n",
    "    for t in countyTractList[c]:\n",
    "        if tractPop[t] < minTractPop:\n",
    "            if tractGeom[t].intersects(mapExterior):\n",
    "                isAlteredCounty[c] = True\n",
    "                skipList.append(t)\n",
    "print(\"There appear to be\",len(skipList),\"unpopulated coastal tracts.  Lets plot them and their parent counties\")\n",
    "for t in skipList:\n",
    "    plotPoly(tractGeom[t])\n",
    "    plotCenter(t,tractGeom[t],6)\n",
    "plotPoly(origMAP,0.2)\n",
    "for c in range(nCounties):\n",
    "    if isAlteredCounty[c]:\n",
    "        plotPoly(countyGeom[c])\n",
    "plt.show()\n",
    "trueMAP = origMAP  #use these terms interchangeably"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a6c93c4-af08-47d5-90f7-dc0b4513aad5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last chance to alter the skipList, otherwise the above 1 units will be axed\n",
      "here is the proposed skipList [5817]\n",
      "here is the final skipList [5817]\n"
     ]
    }
   ],
   "source": [
    "print(\"Last chance to alter the skipList, otherwise the above\",len(skipList),\"units will be axed\")\n",
    "print(\"here is the proposed skipList\", skipList)\n",
    "#skipList = [1939, 1364] #...  #alter here if needed - 1874, 1270, 1497, 1771 create contiguity problems if axed\n",
    "print(\"here is the final skipList\", skipList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2989f381-466b-4882-bf1d-cfa37a7ba8ef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now preserve the original county unit lists and geoms, then rebuild as needed\n",
      "removing coastal units from countyNo 24\n",
      "Here is the revised state county map after eliminating coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Excellent!  We have no populated islands.  SKIP the below code block.\n",
      "we will scale longitudinal distance by 0.75694\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now preserve the original county unit lists and geoms, then rebuild as needed\")\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "trueCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "for c in range(nCounties):\n",
    "    trueCountyTractList[c] = countyTractList[c].copy()\n",
    "    if isAlteredCounty[c]:\n",
    "        print(\"removing coastal units from countyNo\",c)\n",
    "        countyTractList[c] = list()\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in trueCountyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                countyTractList[c].append(t)\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            print(\"Uh oh! county\",c,\"didn't have any usable tracts\")\n",
    "MAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    plotPoly(countyGeom[c])\n",
    "    plotCenter(c,countyGeom[c])\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "origPopMAP = MAP   #origPopMAP is the map after eliminating coastal unpopulated tracts, with original islands\n",
    "print(\"Here is the revised state county map after eliminating coastal tracts\")\n",
    "plt.show()\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    print(\"Excellent!  We have no populated islands.  SKIP the below code block.\")\n",
    "else:\n",
    "    print(\"We appear to have some populated islands.  Separate out the main state geom in next block.\")\n",
    "LAT = MAP.centroid.y\n",
    "xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "print(\"we will scale longitudinal distance by\",r5(xScale))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8a562a21-4107-4a3c-a320-90442a473387",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\n",
      "unit 3739 is a true island.  We will move it to adjoin the mainland in same county.\n",
      "unit 3759 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 3068 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 3097 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 1006 is a true island.  We will move it to adjoin the mainland in same county.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#RUN THIS ONLY IF WE FOUND POPULATED ISLANDS\n",
    "nSubGeoms = len(MAP.geoms)\n",
    "subGeoms = [MAP.geoms[n] for n in range(nSubGeoms)]\n",
    "subAreas = [subGeoms[n].area for n in range(nSubGeoms)]\n",
    "mainSubGeomNo = subAreas.index(np.max(subAreas))\n",
    "mainGeom = subGeoms[mainSubGeomNo]\n",
    "nonMainGeom = dummyPoly\n",
    "for geo in subGeoms:  #the \"nonMainGeom is all pieces of the state not in the biggest piece\n",
    "    if geo != mainGeom:\n",
    "        if nonMainGeom == dummyPoly:\n",
    "            nonMainGeom = geo\n",
    "        else:\n",
    "            nonMainGeom = nonMainGeom.union(geo)\n",
    "        \n",
    "print(\"Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\")\n",
    "hasIsland, isIsland = [False for c in range(nCounties)], [False for c in range(nCounties)]\n",
    "isIsland =  [False for t in range(nTracts)]\n",
    "islandXshift, islandYshift = [0. for t in range(nTracts)], [0. for t in range(nTracts)]\n",
    "islandList = list()\n",
    "for c in range(nCounties):\n",
    "    if countyGeom[c].intersects(nonMainGeom):  #this county contains an island.  Find all its island tracts\n",
    "        hasIsland[c] = True\n",
    "        if countyGeom[c].disjoint(mainGeom):  #need to connect the whole county\n",
    "            print(\"county\",c,\"is completely disconnected from mainland.  Move it to adjoin mainland\")\n",
    "            isIsland[c] = True\n",
    "            countyDist = [999999. for cc in range(nCounties)]  #default, to avoid picking island counties as closest to this one\n",
    "            for cc in range(nCounties):\n",
    "                if countyGeom[cc].intersects(mainGeom):\n",
    "                    countyDist[cc] = countyGeom[c].distance(countyGeom[cc].intersection(mainGeom) )\n",
    "            closestCounty = countyDist.index(np.min(countyDist))\n",
    "            p1, p2 = nearest_points(countyGeom[closestCounty],countyGeom[c])\n",
    "            for t in countyTractList[c]:\n",
    "                islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "            for t in countyTractList[c]:\n",
    "                plotPoly(tractGeom[t])\n",
    "                plotCenter(t,tractGeom[t])\n",
    "                plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                tractCP[t] = tractGeom[t].centroid\n",
    "                tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else: #move only the county's island tracts to connect with main geom\n",
    "            mainCountyGeom = countyGeom[c].intersection(mainGeom)\n",
    "            plotPoly(mainCountyGeom)\n",
    "            plotCenter(c,mainCountyGeom)\n",
    "            for t in countyTractList[c]:\n",
    "                if tractGeom[t].intersects(nonMainGeom) and t not in skipList:\n",
    "                    if tractGeom[t].intersects(mainCountyGeom):\n",
    "                        print(\"unit\",t,\"has island pieces.  We will reduce the tract to its main state component\")\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "                        tractGeom[t] = tractGeom[t].intersection(mainCountyGeom)\n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                    else:    \n",
    "                        isIsland[t] = True\n",
    "                        print(\"unit\",t,\"is a true island.  We will move it to adjoin the mainland in same county.\")\n",
    "                        islandList.append(t)\n",
    "                        if tractGeom[t].geom_type != dummyPoly.geom_type :  #island tract is multiple geoms.  collapse to its largest isle\n",
    "                            isleGeos = [geo for geo in tractGeom[t].geoms]\n",
    "                            isleAreas = [geo.area for geo in isleGeos]\n",
    "                            biggestIsleNo = isleAreas.index(np.max(isleAreas))\n",
    "                            tractGeom[t] = isleGeos[biggestIsleNo]\n",
    "                            tractCP[t] = tractGeom[t].centroid\n",
    "                        p1, p2 = nearest_points(mainCountyGeom, tractGeom[t])\n",
    "                        islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                        plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                        tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9a94118d-5863-4458-b77a-67d18cf01c2c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\n",
      "This would need adjustment for multi-county islands like Michigan UP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing with island triage - RUN ONLY WITH ISLANDS\n",
    "print(\"If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\")\n",
    "print(\"This would need adjustment for multi-county islands like Michigan UP\")\n",
    "for c in range(nCounties):\n",
    "    if hasIsland[c] :  #rebuild the county geom with the translated islands\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in countyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "MAP = countyGeom[0]\n",
    "plotPoly(countyGeom[0])\n",
    "for c in range(1,nCounties):\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4aebe4ee-ee7b-4bf3-8413-f315556d453e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "computing all county centerpoints, then plot them\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"computing all county centerpoints, then plot them\")\n",
    "countyCP  = list()\n",
    "cutCountyList = list()\n",
    "for c in range(nCounties):\n",
    "    cTL = countyTractList[c]\n",
    "    countyCP.append(getHDcp( [tractCP[v] for v in cTL], [tractPop[v] for v in cTL], [i for i in range(len(cTL) ) ] ) )\n",
    "    if countyCP[c].disjoint(countyGeom[c]):  #possible with weird-shaped county\n",
    "        countyCP[c] = nearest_points(countyGeom[c],countyCP[c])[0]\n",
    "    plotPoly(countyCP[c].buffer(0.03))\n",
    "    plotPoly(countyGeom[c],0.5)\n",
    "plotPoly(MAP)\n",
    "plt.show()   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "207f3a55-e361-4777-ae46-41fe3d54a4b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code block reads in a csv with whole districts to be cut out of the map\n",
      "For PA my input file says to cut out 0 districts out of 17\n",
      "There were no cut districts in PA\n"
     ]
    }
   ],
   "source": [
    "print(\"This code block reads in a csv with whole districts to be cut out of the map\")\n",
    "unclippedMAP = MAP\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "nCutDistricts = nCuts\n",
    "nStops = trimDF[\"nStopLines\"][DFrow]\n",
    "nDistricts = trimDF[\"nDistricts\"][DFrow]\n",
    "stopLines = list()  #the 'stoplines' stop wedge growth that hops across concave map areas (not currently used)\n",
    "cutCountyList = list()\n",
    "allCutLists, allCutPops = list(), list()\n",
    "print(\"For\",STATE,\"my input file says to cut out\",nCuts,\"districts out of\",nDistricts)\n",
    "if nCuts > 0:\n",
    "    cutList = list()\n",
    "    cutXs = ast.literal_eval(trimDF[\"cutXs\"][DFrow])\n",
    "    cutYs = ast.literal_eval(trimDF[\"cutYs\"][DFrow])\n",
    "    cutPoints = [Point(cutXs[i],cutYs[i]) for i in range(len(cutXs)) ]\n",
    "    for cutNo in range(nCuts):\n",
    "        print(\"performing cut no\",cutNo,\"for state\",STATE)  #first two cutPoints must form the cutLine\n",
    "        cutNotDone = True\n",
    "        thisCutPoints = [ cutPoints[int(4*cutNo)],cutPoints[int(4*cutNo+1)],cutPoints[int(4*cutNo+2)],cutPoints[int(4*cutNo+3)]  ]\n",
    "        while cutNotDone:\n",
    "            cutPoly = Polygon([thisCutPoints[0],thisCutPoints[1],thisCutPoints[2],thisCutPoints[3] ])\n",
    "            cutLine = LineString([thisCutPoints[0], thisCutPoints[1] ] )\n",
    "            cutList = list()\n",
    "            cutPop = 0.\n",
    "            for c in range(nCounties):\n",
    "                if cutPoly.intersects(countyGeom[c]):\n",
    "                    if cutPoly.contains(countyGeom[c]):\n",
    "                        cutList = cutList + countyTractList[c]\n",
    "                        cutPop += countyPop[c]\n",
    "                    else:\n",
    "                        for t in countyTractList[c]:\n",
    "                            if cutPoly.contains(tractCP[t]):\n",
    "                                cutList.append(t)\n",
    "                                cutPop += tractPop[t]\n",
    "                            if STATE == \"NC\":\n",
    "                                if t == 1828:\n",
    "                                    print(\"special for NC - include vtd 1828 from county 55 in the cut list for contiguity\")\n",
    "                                    cutList.append(t)\n",
    "                                    cutPop += tractPop[t]\n",
    "            print(\"the total proposed cutPop is\",cutPop,\". Compare to\",int(statePop/nDistricts) )\n",
    "\n",
    "            doIcut = input(\"enter 1 to apply the cut\")\n",
    "            if str(doIcut) == str(1):\n",
    "                cutNotDone = False\n",
    "                allCutLists.append(cutList)\n",
    "                allCutPops.append(cutPop)\n",
    "            else:\n",
    "                print(\"Here is the state and the last proposed cutPoly.\")\n",
    "                plotPoly(cutPoly)\n",
    "                plotPoly(MAP)\n",
    "                plt.show()\n",
    "                print(cutPoly)\n",
    "                oldPts = list(cutPoly.exterior.coords)\n",
    "                newPtXs = ast.literal_eval(input(\"enter alternate [ x0, x1 ] for the first two points\") )\n",
    "                newPtYs = ast.literal_eval(input(\"enter alternate [ y0, y1 ] for the first two points\") )\n",
    "                thisCutPoints = [Point(newPtXs[0],newPtYs[0]), Point(newPtXs[1],newPtYs[1]),oldPts[2], oldPts[3] ]\n",
    "allCutVTDs = list()\n",
    "for L in allCutLists:\n",
    "    for v in L:\n",
    "        allCutVTDs.append(v)\n",
    "if nCutDistricts == 0:\n",
    "    print(\"There were no cut districts in\",STATE)\n",
    "else:\n",
    "    print(\"here are your cut districts\")\n",
    "    plotPoly(MAP)\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        cutGeo = tractGeom[L[0]]\n",
    "        for v in L:\n",
    "            cutGeo=cutGeo.union(tractGeom[v])\n",
    "        plotPoly(cutGeo,2)\n",
    "        plotCenter(i,cutGeo)\n",
    "        plotCenter(allCutPops[i],Point(cutGeo.centroid.x,cutGeo.centroid.y-0.5) )\n",
    "    plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "4c915415-6c44-4c43-9826-b565cebed95a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Write the vtd cutlists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Write the vtd cutlists to a file\")\n",
    "cutDistrictNo = list()\n",
    "for v in allCutVTDs:\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        if v in L:\n",
    "            cutDistrictNo.append(i)\n",
    "            break\n",
    "nbrDF = pd.DataFrame( {\"vtdNo\":allCutVTDs,\"cutDistrictNo\":cutDistrictNo} )\n",
    "outname = STATE+\"wholeDistrictCuts.csv\" \n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "nbrDF.to_csv(outpath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "17721728-e5c0-4787-b430-9d7d94970667",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17 districts\n"
     ]
    }
   ],
   "source": [
    "countyPop = [0. for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    countyPop[countyNo[t]] += tractPop[t]\n",
    "print(nDistricts,\"districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f3073320-8d92-45ba-beb2-fb8c08d7170d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed all whole districts.  Finalize stats before squishing in outcroppings.\n",
      "Of the total statePop 13002700.0 we ignore 0.0 as it is cut out of the map\n",
      "This excluded pop comes from a total of 1 tracts\n",
      "Our final adjusted number of state districts, excluded fixed cut-out is 17 rather than original 17\n",
      "Each district will be drawn to house 764864.706 = 1/ 17 of non-cutout state pop 13002700.0 vs original= 13002700.0\n",
      "Here is a county-level modified map with each county's fraction of a district pop\n",
      "working on county 0\n",
      "working on county 20\n",
      "working on county 40\n",
      "working on county 60\n",
      "here is the PA map excluding cut and unpop coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Removed all whole districts.  Finalize stats before squishing in outcroppings.\")\n",
    "trueCountyPop = [countyPop[c] for c in range(nCounties)]\n",
    "trueCountyGeom = countyGeom.copy()\n",
    "countyPop = [0. for c in range(nCounties)]\n",
    "trueStatePop, true_nDistricts = np.sum(trueCountyPop), nDistricts\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "# minTractPop = 4.5  #already defined above\n",
    "populatedTractList = list()\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "statePop, excludedPop = 0., 0.\n",
    "\n",
    "for t in range(nTracts):\n",
    "    trueCountyTractList[countyNo[t]].append(t)\n",
    "    if t in allCutVTDs or t in skipList:  #  or vtdPop[t] < minTractPop:  #need to keep low-pop vtds as VEST may have assigned votes to them\n",
    "        excludedPop += tractPop[t]\n",
    "    else:\n",
    "        populatedTractList.append(t)\n",
    "        countyTractList[countyNo[t]].append(t)\n",
    "        countyPop[countyNo[t]] += tractPop[t]\n",
    "        statePop += tractPop[t]\n",
    "        #tractPop[t] = max(tractPop[t],0.000001)  #avoid possible later div/zero errors for nil-vote vtds\n",
    "print(\"Of the total statePop\",statePop+excludedPop,\"we ignore\",excludedPop,\"as it is cut out of the map\") #,\n",
    "#\"or in sparsely populated areas (<\",minTractPop,\") per geom\")\n",
    "print(\"This excluded pop comes from a total of\",nTracts -len(populatedTractList),\"tracts\")\n",
    "true_nDistricts = nDistricts\n",
    "nDistricts -= nCutDistricts\n",
    "print(\"Our final adjusted number of state districts, excluded fixed cut-out is\",nDistricts,\"rather than original\",true_nDistricts)\n",
    "aDP = statePop/float(nDistricts)\n",
    "print(\"Each district will be drawn to house\",r3(aDP),\"= 1/\",nDistricts,\"of non-cutout state pop\",statePop,\"vs original=\",trueStatePop)\n",
    "print(\"Here is a county-level modified map with each county's fraction of a district pop\")\n",
    "\n",
    "vtdGeom = tractGeom.copy()\n",
    "nVTDs = len(vtdGeom)\n",
    "\n",
    "cutCountyList, uncutCountyList = list(), list()\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"working on county\",c)\n",
    "    if len(countyTractList[c]) == 0:  #no vtds added to county b/c all were in cut lists:\n",
    "        cutCountyList.append(c)\n",
    "    else:\n",
    "        uncutCountyList.append(c)\n",
    "        countyGeom[c] = tractGeom[countyTractList[c][0]]\n",
    "        for t in countyTractList[c]:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "uncutMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "print(\"here is the\",STATE,\"map excluding cut and unpop coastal tracts\")\n",
    "\n",
    "for c in uncutCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "    FONTSIZE = 11\n",
    "    if countyPop[c] / statePop < 0.02:\n",
    "        FONTSIZE = 7\n",
    "        plotCenter(r3(countyPop[c]/aDP),countyGeom[c], FONTSIZE)\n",
    "    else:\n",
    "        plotCenter(round(countyPop[c]/aDP,2),countyGeom[c], FONTSIZE)\n",
    "plotPoly(trueMAP,0.1)\n",
    "for c in cutCountyList:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "    plotCenter(\"cut\",countyGeom[c],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0062ac21-3328-4616-99ed-70c53e62b308",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the map topology before any squish operations.  Plot countyPop/aDP\n",
      "Working on county  0 distances\n",
      "Working on county  20 distances\n",
      "Working on county  40 distances\n",
      "Working on county  60 distances\n",
      "the max LAT-scaled distance between counties is 4.26645\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter user-picked max district diameter, or 0 to accept 4.26645  3.5\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on county  0 neighbors\n",
      "Working on county  20 neighbors\n",
      "Working on county  40 neighbors\n",
      "Working on county  60 neighbors\n",
      "I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#For corners and outcroppings, we fuse county clusters\n",
    "print(\"Now finalize the map topology before any squish operations.  Plot countyPop/aDP\")\n",
    "preSquishCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "maxD = 0.\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"distances\")\n",
    "    if c not in cutCountyList:\n",
    "        plotPoly(countyGeom[c],0.2)\n",
    "        plotCenter(r3(countyPop[c]/aDP), countyGeom[c], 7 )\n",
    "        for cc in range(c+1, nCounties):\n",
    "            dist = getLongDist(countyCP[c],countyCP[cc],xScale)\n",
    "            if dist > maxD and cc not in cutCountyList:\n",
    "                maxD = dist\n",
    "                #print(c,cc,maxD)\n",
    "print(\"the max LAT-scaled distance between counties is\",r5(maxD))\n",
    "plotPoly(MAP)\n",
    "plotPoly(MAP.centroid.buffer(0.5*maxD))\n",
    "plt.show()\n",
    "inputD = float( input(\"enter user-picked max district diameter, or 0 to accept \"+str(r5(maxD))+\" \") )\n",
    "if inputD > 0:\n",
    "    maxD = inputD\n",
    "neighborCountyList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"neighbors\")\n",
    "    for cc in uncutCountyList:\n",
    "        if cc > c and cc not in cutCountyList:  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\")\n",
    "hasFewNeighborCs, has1neighborCs = list(), list()\n",
    "plotPoly(MAP,0.15)\n",
    "for c in uncutCountyList:\n",
    "    if len(neighborCountyList[c]) == 2:\n",
    "        hasFewNeighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.2,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.5)\n",
    "    if len(neighborCountyList[c]) < 2:\n",
    "        has1neighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.1,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f9b3df93-d821-44ca-b4f4-b65d13baaffb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "continuing from above, develop corner county blocks from each low-pop corner county until it hits 0.25 of 764864\n",
      "checking if county 24 with pop 270876.0 and 1 or 2 neighbors is less pop than 191216\n",
      "checking if county 29 with pop 35954.0 and 1 or 2 neighbors is less pop than 191216\n",
      "checking if county 51 with pop 58535.0 and 1 or 2 neighbors is less pop than 191216\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Below I plot these again by county no, with faded neighboring counties\n",
      "0   [29, 25]\n",
      "1   [51, 63, 57, 65, 56]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are 764864.706 191216\n",
      "You may suggest [ [29], [24] , [51,63] ] \n",
      "let's decide whether to delete, accept, or modify list [29, 25] with pop 164758.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) [29]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, I will replace [29, 25] with [29]\n",
      "let's decide whether to delete, accept, or modify list [51, 63, 57, 65, 56] with pop 180033.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) [51,63]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, I will replace [51, 63, 57, 65, 56] with [51, 63]\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if you want to manually add another corner-county cluster 1\n",
      "Type in a [county list], where the corner county is first in the list.  Or type 0 to stop [24]\n",
      "enter 1 if you want to manually add another corner-county cluster 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our final pops and fused-county lists are...\n",
      "35954.0 [29]\n",
      "109690.0 [51, 63]\n",
      "270876.0 [24]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aDP = float(statePop)/nDistricts\n",
    "maxCCBratio = 1./4.  #adjustable max fraction of district pop for corner county blocks.  Let's try 3/16\n",
    "maxCCBpop = maxCCBratio * aDP\n",
    "print(\"continuing from above, develop corner county blocks from each low-pop corner county until it hits\",r3(maxCCBratio),\"of\",int(aDP) )\n",
    "CCBlist, CCBpop, passThruList = list(), list(), list()  #\"waiveThru\" counties get chance to join a cluster even if high pop\n",
    "nFuses = 0\n",
    "for c in has1neighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and only 1 neighbor is less pop than\",int(maxCCBpop),\"vs districtPop\",int(aDP) )\n",
    "    if countyPop[c] > maxCCBpop:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        nc = neighborCountyList[c][0]\n",
    "        plotPoly(countyGeom[nc],0.5)\n",
    "        plotPoly(MAP,0.2)\n",
    "        print(\"county\",c,\"has pop\",countyPop[c],\"and its only neighbor has pop\",countyPop[nc],\"vs districtPop\",aDP,\". Default = keep un-fused\")\n",
    "        print(\"enter 0 to keep\",c,\"as an unfused collection of units, 1 to fuse as one unit and stop, 2 to force-add at least the next closest county\")\n",
    "        fuseChoice = input(\"0, 1, or 2.  Any other input taken as a zero\")\n",
    "        if fuseChoice == 0:\n",
    "            keepUnfused = True\n",
    "            break\n",
    "        elif int(fuseChoice) == 1:\n",
    "            CCBlist.append([c])\n",
    "            CCBpop.append(countyPop[c])  \n",
    "            hasFewNeighborCs.append(c)  #this adds this [c] to the final list of fused units, but will fail to find more in below\n",
    "        elif int(fuseChoice) == 2:\n",
    "            CCBlist.append([c,nc ] )\n",
    "            CCBpop.append(countyPop[c] + countyPop[nc])\n",
    "            hasFewNeighborCs.append(c)\n",
    "            passThruList.append(c)   #pass on thru to the below 2neighbor logic even if too high-pop to qualify\n",
    "    else:\n",
    "        hasFewNeighborCs.append(c)  #normal case; we'll handle in next, more general, for loop            \n",
    "        \n",
    "for c in hasFewNeighborCs:\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and 1 or 2 neighbors is less pop than\",int(maxCCBpop) )\n",
    "    if countyPop[c] < maxCCBpop :\n",
    "        CCBlist.append([c])\n",
    "        CCBpop.append(countyPop[c])\n",
    "        CCBno = CCBlist.index([c])\n",
    "    if c in passThruList:\n",
    "        CCBno = CCBlist.index([c,neighborCountyList[c][0] ])\n",
    "    if countyPop[c] < maxCCBpop or c in passThruList:            \n",
    "        CCBstarter = c\n",
    "        canAdd = True\n",
    "        while canAdd:\n",
    "            nbrSet = set()\n",
    "            for cc in CCBlist[CCBno]:\n",
    "                nbrSet = ( nbrSet.union(set(neighborCountyList[cc])) ).difference(set(CCBlist[CCBno]))\n",
    "            nPop = [countyPop[cc] for cc in nbrSet]\n",
    "            nDist = [countyGeom[cc].centroid.distance(countyGeom[CCBstarter].centroid) for cc in nbrSet]\n",
    "            idx = np.argsort(nDist)\n",
    "            nbrList, newList = list(nbrSet), list()\n",
    "            for i in range(len(nDist)):  #add counties, closest to starter that will fit until over\n",
    "                cc = nbrList[idx[i]]\n",
    "                if CCBpop[CCBno] + countyPop[cc] < maxCCBpop:\n",
    "                    newList.append(cc)\n",
    "                    CCBlist[CCBno].append(cc)\n",
    "                    CCBpop[CCBno] += countyPop[cc]\n",
    "                    #print(\"adding county\",cc,\"with pop\",countyPop[cc],\"to list started by\",CCBstarter,\".Cluster pop now\",CCBpop[CCBno]  )\n",
    "            if newList == list():  #no eligible neighbor counties found; stop\n",
    "                canAdd = False\n",
    "                for cc in CCBlist[CCBno]:\n",
    "                    plotPoly(countyGeom[cc])\n",
    "                    plotCenter(CCBno,countyGeom[cc])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "                    \n",
    "print(\"Below I plot these again by county no, with faded neighboring counties\")\n",
    "plotPoly(MAP,0.15)\n",
    "for L in CCBlist:\n",
    "    print(CCBlist.index(L),\" \",L)\n",
    "    for c in L:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        for cc in list(set(neighborCountyList[c]).difference(L) ):\n",
    "            plotPoly(countyGeom[cc],0.4)\n",
    "            plotCenter(cc,countyGeom[cc],8)\n",
    "plt.show()\n",
    "rejectList = list()\n",
    "print(\"Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are\",r3(aDP), int(maxCCBpop))\n",
    "print(\"You may suggest [ [29], [24] , [51,63] ] \" )\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "        print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "        isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "        if not (isOK == 1 or isOK == str(1)) :\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                rejectList.append(L)\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "                print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                CCBlist[i] = Lnew.copy()\n",
    "for L in rejectList:\n",
    "    del CCBpop[ CCBlist.index(L)]\n",
    "    del CCBlist[CCBlist.index(L)]\n",
    "stillAdding = True\n",
    "while stillAdding:\n",
    "    addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "    if int(addMore) != 1:\n",
    "        stillAdding = False\n",
    "    else:\n",
    "        isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "        if isOK == 0 or isOK == str(0) :\n",
    "            print(\"OK, we'll stop adding corner clusters\")\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            notGood = True\n",
    "            while notGood:       \n",
    "                Lnew = ast.literal_eval(isOK)        \n",
    "                if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                    notGood = False\n",
    "                    for L in CCBlist:\n",
    "                        if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                            notGood = True\n",
    "                            print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    if notGood == False:\n",
    "                        CCBlist.append(Lnew)\n",
    "                        CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                else:\n",
    "                    print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                    isOK = input(\"Try again here \")\n",
    "print(\"Our final pops and fused-county lists are...\")\n",
    "allFusedCounties = list()\n",
    "CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "CCBcp = list()\n",
    "for i, L in enumerate(CCBlist):\n",
    "    CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "    print(CCBpop[i],L)\n",
    "    pops, CPs = list(), list()\n",
    "    for c in L:\n",
    "        if c == L[0]:\n",
    "            CCBgeom[i] = countyGeom[c]\n",
    "        else:\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "        allFusedCounties.append(c)\n",
    "        pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "        CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(i,countyGeom[c])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "206c9372-8ec8-4190-93ed-04df286466e0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now identify the border counties + border fused units, and interior small counties with pop < 15297\n",
      "We defined a total of 4 unit (but not corner-cluster) counties in the map, excluding the cut-out districts\n"
     ]
    }
   ],
   "source": [
    "maxWholeBorderCountyPop = 0.02 * aDP   #to encourage contiguity, border counties > 0.02 aDP will be forced whole\n",
    "maxInteriorBorderCountyPop = 0.02 * aDP\n",
    "print(\"now identify the border counties + border fused units, and interior small counties with pop <\", int(maxInteriorBorderCountyPop))\n",
    "unitCounties, borderCounties = list(), list()\n",
    "origMAP = MAP\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    MAPexterior = MAP.exterior\n",
    "else:\n",
    "    maxArea = 0\n",
    "    for geo in MAP.geoms:\n",
    "        if geo.area > maxArea:\n",
    "            MAPexterior = geo.exterior\n",
    "            maxArea = geo.area\n",
    "            MAP0 = geo\n",
    "    MAP = MAP0\n",
    "for c in uncutCountyList:\n",
    "    if countyGeom[c].intersects(MAPexterior):\n",
    "        borderCounties.append(c)\n",
    "        if c not in allFusedCounties:\n",
    "            if countyPop[c] < maxWholeBorderCountyPop:\n",
    "                unitCounties.append(c)\n",
    "    else:\n",
    "        if countyPop[c] < maxInteriorBorderCountyPop and c not in allFusedCounties:\n",
    "            unitCounties.append(c)\n",
    "print(\"We defined a total of\",len(unitCounties),\"unit (but not corner-cluster) counties in the map, excluding the cut-out districts\")        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e0ff719c-59dc-4827-a522-11bd352f7524",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For this state, do we have a lot of populated fragmented VTDs?\n",
      "109 fragmented VTDs out of 9178\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYI, here are the locations of fragmented VTDs with pop > 3000\n"
     ]
    },
    {
     "data": {
      "image/png": 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f6urqMlbL/nL5nx8AkCuMb/ocsnJt5NCg+rCsW7dOTU1Nmj17dnqZ53l66qmndOeddyoej8txnMMuqqKiQscee6xeeeWVfh+PRqOKRqOH/ToAAOQKy7Zkkr5SO7rlJ33ZEVt+0pdbXiC7OBJ0eYdtUIFl/vz52rhxY59l5513nqZNm6Yrr7wyI2FF6u3Uu3nzZn3yk5/MyPYAAMgHkdoSSZIxpncWXEnJpi5ZUUeWk92dcQcVWMrKyjR9+vQ+y0pKSlRZWZle3tDQoIaGhnTryMaNG1VWVqZJkyZp9OjRknqDz9lnn60vfOELkqTLL79cH/jAB3TEEUeovr5e1157rRzH0bnnnnvYbxAAgHxj7TVdvzuqUF57Um5Fdp+ZyHjcuvvuuzVr1ixdcMEFkqTTTjtNs2bN0oMPPpheZ/PmzdqxY0f6/uuvv65zzz1XU6dO1Uc/+lFVVlZq9erVqqqqynR5AADkFStiS56vVEt2jyCyjDFZ3yunra1N5eXlam1tVSwWy+i2TdKX15WUW57dyRQAkL+MMUo1dytSXRx0KX0M5vg9pInjAABA9vC7Ur2TyzV1pUcSRaqKZZL+mxPOhb9jLoEFAIAc55REZEcdWW9O4e/HPSWbumRSvgrGlSrZ3NUnsJiUL1mWLCc8U3sQWAAAyAPWXtcbsqOOrNGF0l6dc/2elLz2hGTU2wpjFKpTSASWQwlPuAQAIGP2DjBuRaH87mTvaSLfyLItJXd0B1jd/ggsAADkOStiy4n0Di6xbEvGM3s3voRCds8iAwAAMs4kvdBd9Tlc1QAAgMDZha5MwldqZ3hOCxFYAADAftwxRbLLCkIz4RyBBQAA9MsucGSSXtBlSCKwAACAg7CL3FC0shBYAADAATmlBTKJ4FtZCCwAAOCAjDG9M98GjHlYBiLrLw8JAMDgea1x+XEvFDPeElgAAEBaamd3+ou6XRpRpDwabEFvIrAAAIA04xtFqoJvUdkXgWVAOCcEAMhtxhh5u3rklBYEXUq/CCyHErJrKQAAkGmpXT0yvpFTViA76gRdTr8ILAAAQG55NHTXD9pbeCsLE84IAQBylEl6obzY4b7CXR0AABg2JuUrtbNHkZqSoEs5JALLIdGJBQCQe4wxSjZ3K1Ib/rAiEVgGhlNCAIAc4+3sUaS6KOgyBozAAgBAHjLGyHKyJwZkT6UAACAj/HhKdjS7BgoTWA6FLiwAgBzjtSflxMI5QdyBEFgAAMgjxvNlEl7QZQwagQUAgDyS2tWjyNjsGBm0NwLLQBiGCQEAcoRlybKyr78DgQUAgHySpV/CCSwAAOST7MwrBBYAAPJK9p0NkkRgOTTfSHaW/usCALAXk/Rkudl56M/OqkcaeQUAkANSLXG5owqDLmNICCwAACD0CCwAAOQB4/lZde2gfWVv5QAAYMBSO3vkjIoGXcaQEVgAAMhxXltCdrGblRPG7UFgAQAgx/nxlJzS7LrY4b4ILIeSvWEUAAB5HQnZxZGgyzhsBBYAAHKUMUZ+R1JOCYElP2TpNMYAgPyWau6WW1UUdBkZ4QZdAAAAyCzjG6Wau+SUFWT1UOa9EVgAAMgx3q4euaMLZUWcoEvJGAILAAA5wk948lrivUOYcyisSASWAQjPMCHf+GqNtypiRxRxInItV46dWx9IAMDQebt6FKktCbqMYUFgyRLGGH3hsS/oj2/8sc9y27JlyZJlWbp7wd2aM3ZOQBUCAILktSfkVGTvTLaHQmDJEqu2rdIf3/ijLj/5ctWU1CjpJZXyU0r6SRljdOOaG1XfUR90mQCAgPg9KalHSu3qUcG40qDLyTgCSxboSfXoludu0bsnvFufPuHT+z2+J7D4xg+gOgBAGDglEZmkL5NjfVf2yI2xTsMt4HlYrn36WjV2Neryo86RHv6S5KX6PG5ZlixZ8kVgAYB8ZHwjrz0hSXJz9LQQgWUgAux3e9Pqm/TIlke0aPIiHbnyGum5H0gdjfutZ1u2jGGGOwDINyblK9nQKbe6WE55boYVicASens60b5v0vukf1kpffheqXz8fuvZls0pIQDIQ6mWuArGlWb1lZgHgsBySMG2Wiw4YoGmjJqi3237nRQtlaaf0+96tmXLM94IVwcACFyetK4TWAYi4NC66MhFeqLuCW3v2H7AdTglBAD5x+9OyS7Mj/EzBJYscNbRZ8m1XH34oQ+rPdHe7zqWLE4JAUCeSe3qkVNWEHQZIyI/YlmWqy2p1S3vuUUXrrpQFz56oT469aNK+kn9+Y0/68SqE9WR6FDCT8gEPZwJADBiko2dilTnxpWYB+KwWlhuvvlmWZalSy+9NL3se9/7nt7znvcoFovJsiy1tLQMaFvf+c53dOSRR6qwsFBz5szRs88+ezil5ZxZ1bNUW1Krv+38m655+hrdsPoG/aHuD7rj+Tu0cutKHT/6eL2t6m1BlwkAGGZ+wusdFVRZlHPXCzqYIbewrF27VitWrNCMGTP6LO/q6tKiRYu0aNEiLVu2bEDb+vnPf67LLrtMd999t+bMmaPbbrtNCxcu1KZNm1RdXT3UEnNKoVuoVR9epfqOev3x9T9q/hHz1Z3sVk1JjQqc/GgOBIB8l2zukuXYOXu9oIMZUgtLR0eHli5dqnvuuUejRo3q89ill16qr371q5o7d+6At3frrbfqggsu0Hnnnafjjz9ed999t4qLi/WDH/xgKOXltHGl4/SxaR/TmKIxmhibSFgBgDxgPF+J+g65owrlji4MupxADCmwXHTRRTrzzDO1YMGCwy4gkUho3bp1fbZl27YWLFigZ555pt/nxONxtbW19bkBAJCL/J6UUju6FRlbIsvN37Eyg37n999/v9avX6/ly5dnpIAdO3bI8zzV1NT0WV5TU6OGhoZ+n7N8+XKVl5enbxMnTsxILQAAhInfk5LfkVSkpiTnJ4Y7lEEFlrq6Ol1yySX6yU9+osLC4Jqkli1bptbW1vStrq4usFoAABguXkdS7pj8GQl0MIPqdLtu3To1NTVp9uzZ6WWe5+mpp57SnXfeqXg8LscZXI/lMWPGyHEcNTb2vT5OY2Ojamtr+31ONBpVNJq710sAAAB9DaqFZf78+dq4caM2bNiQvp188slaunSpNmzYMOiwIkkFBQU66aST9Nhjj6WX+b6vxx57TPPmzRv09gAAyBm+Uao1HnQVoTCoFpaysjJNnz69z7KSkhJVVlamlzc0NKihoUGvvPKKJGnjxo0qKyvTpEmTNHr0aEm9wefss8/WF77wBUnSZZddpk9/+tM6+eST9Y53vEO33XabOjs7dd555x32GwQAIFtFqouV3NEddBmhkPGZbu+++25df/316funnXaaJOnee+/VZz7zGUnS5s2btWPHjvQ6H/vYx9Tc3KxrrrlGDQ0NmjlzplauXLlfR1wAAJCfLJMDV8xra2tTeXm5WltbFYvFMrpt4/ny2hNyK/Jz3DsAIFh+3JPfnczJ49Bgjt/5O6AbAIAsYEcdmSQXtyWwAAAQcnbUld+TCrqMQBFYAAAIOSdWIK8tEXQZgSKwAACQBZxYgVK7eoIuIzAEFgAAsoBd6ErGyKTysz8LgQUAgCzhjCqUl6cTyRFYAADIEpZtSVk/GcnQEFgAAMgixuOUEA4kT9MsACB83NGFSu3Mv+n6CSyHZAVdAAAAaVbEkfGNcmCi+kEhsAAAkI3y7MwQgQUAgCxivN6WFcvJrzMAGb9aMwAAyDyvPdF7IcTOpArGlQRdzogjsAAAkAX8uKfImCJpTFHQpQSCU0IAAGQBy5L8hBd0GYEhsAAAkAXcyqK8neVWIrAAAJAV/IQny83fw3b+vnMAALKI1xKXO6ow6DICQ2ABACDkjOfn3TDmfRFYAAAIudSuHjl53LoiEVgAAAi11O4eWRGn90rNeYzAAgBAiJiUnx6+7HenZDmW3IpowFUFj4njAAAIkdSOblmFbu8QZiNFqouDLikUCCwAAISEMUaWa9Oi0g9OCQEAMILan3pdqX4mgDPGKLm9Uw5hpV8ElizS3pPURT9Zr189/7p6kvk7PTMAZKtUS49aH9mihuXPqusvzX0e83b2KFJTkteTwx0MeyWLbNvZpd9u3K4v/fwvuvrXf5MxJuiSAACD0HDz2vTPrb99VX5XMn3fijrye1JBlJUVCCxZZOKotzpePbDudV3/0AsBVgMAOBxeW0Ktq7al7ztlBfI7kwd5Rn4jsAxESBoyopHef653H1slSbrv6a1KpPwgSwIADELhCZWKHjtKdmlEkuR37BNQ8nuqlYMisBxKiD480TfPay6eXqtffG6eJOnVHR1BlgQAGAS70JXpSal4ZrUkadSSKQFXlD0ILFnEsixZltQRT2lqbZkk6YX6toCrAgAMlF3kyutMqmfTrjcXvPWt2GuNyykrCKiy8COwZJnSqKv/XPkPFUUcSdJlv/hLwBUBAAbKLnLl7exRqrk7fVpoDz/hyS5kerQDIbBkmU/PO1JJz+jYr/1felmnxxBnAMgGBUeUpX/unJOSXeAEWE12IbBkmdOPq1Zp1NWJkyokSfFTa/Q/DbuDLQoAMCCFx4xSxRXH65dbb5U7pu/Vly0rRJ0mQ8gyOTCZR1tbm8rLy9Xa2qpYLJbRbRvfyGuJyx0dnst674gnNW/NiyqwbZW5tiZEC/TLWccEXRYA4DAkGztlF0dkl0byJrwM5vjNybIsdMu2RrV7vuT52pmUtnYn1OX5KnZoMAOAbBWpKZHfk1JqZ48iY4qCLid0CCxZ6EPVFVrX1qmP1o5WyjeKRRwV2fmRxgEgl/k9KUYKHQCBJQvNqSjVoydPDboMAEAG9U7Tb8mO0hG3P5xDAAAgBLzOpFyu1HxABBYAAMIg64fADC8CCwAAIeCUFchrTwRdRmgRWAAACAG7yJWJMxHogRBYAAAIAb8ryVmhgyCwAAAQAl57gvlXDoLAAgDAAWz96w499P6v6pk5/ySTTA7vi9mWcmDy+WFDYAEAoB+dLXH99rt/1WuTztC2Se9T+xNPDOvruaML5e2OD+trZDMCCwAA/Wjc2pb+eWfliWr52c+G9fUsx5bxaWE5EAILAAD9OGpmld79z72zilfsfkmjzztvWF/PT3iyIhyWD4Sp+QEAOIDpp43XCaeOk2WfPuyv5XclZRdH3rrfk5LfkZQitpxYQd5cwflAiHIAAByENYiLy3Z1bdE/Nl2jrq5tg34dt6JQ3q4emaTXG1Y6k3LHFMkucpVq7JIfTw16m7mEFhYAAA7TX/5ygXbs/INsOyrfj2vXzj/qpJN+oWi0alDbidSWKNXSI1mW3MreIc52gSO7tkTJxk5ZVc6gAlQuoYUlIF5rq7rWrWMIGwBkiVQyqdamxn4f27HzD5KkiRP/RXPn/E6+SWjDX85TKtU+6NdxKwrllu9/EUS3ulip5q5Bby9XEFgCsuUjH9W2pZ/Q5vkLCC0AEHK+5+nbnzhb/3Xx+Yp3de73+JFH/JsKo+N0zNGXq6TkGM182w/U0/OG/vLXz8nzMjNU2bIsOeVRpXb3ZGR72YbAEgCvo0PxujdUXztPiYb+0zoAIDw6n23QxyZfqRK3XMm/tspr7RtCXLdUPfF6+X7vxQtLS6fqbTPuUUvLWr2yeXnG6rALXZmUn7HtZZPDCiw333yzLMvSpZdeml7W09Ojiy66SJWVlSotLdWSJUvU2Hjwg/JnPvMZWZbV57Zo0aLDKS20utoSeu7xJj3x7tv1j2mfkPuf9+V9z28ACDOvNa7W37wqSTrn1CvU8uvN2r78Wfl7XaiwtPQ4SdLa585WPN4sSdq160+SfMXKTsxoPfl6zBhyYFm7dq1WrFihGTNm9Fn+pS99SQ899JAeeOABPfnkk6qvr9c555xzyO0tWrRI27dvT99+NswT9AxYBs/WdLcndO8Vf9Jzv92q8VNHSZKaussz9wIAgIwyxmjXL19K309se2syuV0/35Se6K2y8jS9/eRfq6PjH3p27Vl6/Y2fasvWO3T0UV/R2LFLRrzuXDSkwNLR0aGlS5fqnnvu0ahRo9LLW1tb9f3vf1+33nqrTj/9dJ100km699579fTTT2v16tUH3WY0GlVtbW36tvd2c0W0uHdQVmxMoaafNl6S1L4rP89FAkA2aPzWesVfbpEdK5AkFU4dpfH/capii45Uzws7lWx8qxNsLNbbkpJINGnTpqs1YcKndMQRn8t8UfnZwDK0wHLRRRfpzDPP1IIFC/osX7dunZLJZJ/l06ZN06RJk/TMM88cdJtPPPGEqqurNXXqVH3+85/Xzp07h1JaqNmOrfmfPk5tO3r0u3v+poIiV7POmBR0WQCAA4ge3dsK7rclNP6GU1T5mRNkUr46V29X9NhRitQW91l/0z8WSpJisZk6dsrXhuf0TZ6O0xj0PCz333+/1q9fr7Vr1+73WENDgwoKClRRUdFneU1NjRoaGg64zUWLFumcc87R5MmTtXnzZl111VVavHixnnnmGTmOs9/68Xhc8fhbHZ7a2tr2Wyesps0bKy/l64mfbNI5l89W5fjSoEsCABzAqA8eo+QbHUq81q6Wh15VxYeOUduqbfI6kqq64Oj9AklT0xjJOkUXXnCPLGv/41dG5GkLy6ACS11dnS655BKtWrVKhYWFGSvi4x//ePrnE088UTNmzNDRRx+tJ554QvPnz99v/eXLl+v666/P2OuPtBPeNV7HnzoubztOAUA2GfPZE1V/zdPqfLZBycYuJeraFDvjyPTEbnu77rp/H5GajDF5dwwZ1CmhdevWqampSbNnz5brunJdV08++aRuv/12ua6rmpoaJRIJtbS09HleY2OjamtrB/w6Rx11lMaMGaNXXnml38eXLVum1tbW9K2urm4wbyMU8u2DBgDZyi5wNPaqdygytkSJbW2yiyMqe9f44AqyLCkPRzYPqoVl/vz52rhxY59l5513nqZNm6Yrr7xSEydOVCQS0WOPPaYlS3p7RW/atEmvvfaa5s2bN+DXef3117Vz506NHTu238ej0aii0f1nAQQAYDg4saiqvzhLXc81quDImCwnwGnMLEnGKN/ODQ0qsJSVlWn69Ol9lpWUlKiysjK9/Pzzz9dll12m0aNHKxaL6eKLL9a8efM0d+7c9HOmTZum5cuX6+yzz1ZHR4euv/56LVmyRLW1tdq8ebOuuOIKHXPMMVq4cGEG3uJhSn8wAAD5zLIslbx94GcLhovxjCw3/+Z9zfjFD7/1rW/Jtm0tWbJE8XhcCxcu1He/+90+62zatEmtra2SJMdx9Ne//lX//d//rZaWFo0bN05nnHGGbrjhhnC0oljK2x7ZAACEhWVy4EI2bW1tKi8vV2trq2KxWMa3n9rRLXfM/p2rAAAYabl0TBrM8Tv/2pSGIr9OEwIADtOaNWv0t7/9LegycgqBBQCADPL9hP6x6QZtfvWS9MUQM8pS+pIA+YTAAgBABrW2rteECS+qtHSrXn7l5oxv3ymPymuLH3rFHENgAQAggyzrrfEszc2/y/z2XVtK0cICAAAOQ0FBpSSpqmqhEomdSqU6Mv4axvPlx1MZ326YEVgAAMigza/eKklKJVtlTFK7dz+d8deI1JTI70jK707JeEbJ5i4lm7pkvNydAjfj87AAAJDPujo3S5J2t6yWJBUVHTEsr+NWFinV0iN1JtPDnFONXXIqorILc+/wTgsLAAAZdOyx16i4+GhVVLxDxx9/i0pLpw7ba7kVhXLHFMmyLFmWpUhtibzW3OyQm3sRbDjkX98mAMAQjRo1V/PmPhrY69slEfldSdnFkcBqGA60sAAAkEOc0gJ5XbnXIZfAAgAAQo/AAgAAQo/AAgBAjnFiBUrlWOdbAsshGGO4+CEAIKvYBY6UzK05WQgsh8IIIQBAFjImtw5gBJZDMZIsmlgAANnFLnTltQ/D1aIDQmA5JE4JAQCyj1NWIJP05ffkxhBnAgsAADnKHV0ovyOpVEv2d8AlsAAAkMPcMUWyi10ltncGXcphIbAAAJDj7AJHkaoiJZu7gi5lyAgsAADkAcu1ZRe58jqTQZcyJAQWAADyhFNaIL+LwAIAAELOsiwZP/vmaCGwAACQR5zRhfJ29QRdxqARWAAAyCOWbWXlLLgElkPJvn9TAAAOKdtCC4FlIJjpFgCQpXa83q7N65v6LHNHFcrbmV2nhdygCwAAAJnne77++vjr+vMvX5EkLf7ciTpqVpWk3iHOVtRRcke3ImOKgixzwGhhAQAgBzW+UJ8OK5L0wp/r+zzulBXILS9QsqFTJumNdHmDRmABACAHlfht6Z9rJsd09Ozq/daxIo4itSXy2hKhv7Izp4QAIKS2bdump59+TDNn7dSE8e9XSclU2TZ/tjEwsbcdrwtvOUpuUVSWffDOmFteeV7b//qiTvn4J+SWRUeowsHhkw8AIWSM0cO/vVpTpqxWfb2n+vq7ZVkRFRaO04wZK1RaMiXoEpEFIiWFh1znkZu+od0v16mh+1XN+cBHCCwAgIHbtu0uTZv25/R91y1TNDpWnZ0vyfOy9wJ2CI9US48abl6rGZor1c5VnXlJbkmh/J6U7MLwxQP6sABACHn+W0NOKyrm6ITjv6Uxle/tXRDS+TP87m7VL7tKb1z+FSVeey3ocnAITnnflpRjps6RU1YQ2r4s4YtQAAAdfdRlGjf2I1r73DlKpdpUVjZdDY0PSpJcNxZwdX11/OnP2v3jH6vruefkd3RIkrrWrNGERx7Woyvu0Kix43TyB85Rcaw84EqxN8uyVHPZSUo2dMopK1DBxLKgSzooy2TbVHf9aGtrU3l5uVpbWxWLZfYX2aR8eR0JuRWHPg8IAJnW0bFJz2/4jIxJKZncJUmafsK3VVPzTwFX1qv+qv+n1v/9X0lS1Ze+pOK3v13b/vmf5Uta+baj0+tNOH66PnbtzQFVicHwE568XT1yq4plOcM7c+pgjt+cEgKAECstnao573hIlaNPU03NBzTnHf8XmrAiSZXn/0v651FL/1kFk4/sd72jT5ozQhXhcNkFjtyaYqV2hKuvFIEFAEKuoGCMTjjhFk0/4TaVlh4bdDl9RI8+WqM+9UlJ0ksnv12vntkbpmxJi79wo2QV6th3fkon/9PZAVaJwbIsS3aRK78nFXQpafRhGRAuJgQAB1J71VUqmDBBjf+xXN6u3tNWW6ulxe+aqZqj7tPosSUBV4ihcGJRJZu7QjNiiBYWAMBhG/2pT6l0wfz0/feu6O3XUjm+9JCTliG8LCs8/3bhiE0AgKxXe9VVaiosUvmHPqTC444LuhwcJq8tIavQCbqMNAILACAjIuPGafw3vxF0GThMXntCfk9KlmvLjYVnhCyBBQCAPOV1JGRSRm5F7yRyyaYu2SURRaqKA65sfwQWAADylN+VklMeVbKpS/KN3MpCWZHwnAbaG4EFAIA85LXG5ZRHZUcd2dXha1HZF6OEAADIQ37Ckx0NZ2tKfwgsAADkGa89IcvNrgiQXdUCAIDD4nclZXwjd1R4RgANBIEFAIA84XUm5bUl5JZHgy5l0Oh0CyArtSfa9eMXf6xYQUxlBWV657h3qjhSrCK3KOjSgNDxWuPy417vkOXa7LxUAoFlIMIzMzGAN53ys1P2WzauZJwePvthRZxIABUB4eK19U4AJ9uSUxpRJAtbVfbGKSEAOaO+s171nfVBlwEELrWzW7KlSHWxImOKQnMBw8NBYAGQlS6Zfcl+y3511q90ROyIAKrB3pK+0cUvbtO61s6gS8k7xhglGztll0bklBYEXU5GEVgOxQRdAID+nD/9fP1x2+s6u71DkjS9crqOGXVMwFVBkl7u6tEDDbt15vqXtSuZCrqcvJJq6pI7pkh2NPtbVPZFYAGQlSzL0tLuG/Ta9k9qwaQzdMf8O4IuKe95xujbWxt1+tpN6WX/snGL4r4fYFX5I7W7R04sKsvJzUP7Yb2rm2++WZZl6dJLL00v6+np0UUXXaTKykqVlpZqyZIlamxsPOh2jDG65pprNHbsWBUVFWnBggV6+eWXD6c0AHngF9f9qy753Jf0rffeojFFY4IuJ28ZY7T0l89r/OMbtHzL9vTy38w6Rs+3d+nL/6iTMTRXDyevIyHLtmQX5V7Lyh5DDixr167VihUrNGPGjD7Lv/SlL+mhhx7SAw88oCeffFL19fU655xzDrqtr3/967r99tt19913a82aNSopKdHChQvV09Mz1PIA5IGSqKtZk0YFXUbeu2nlP/Tn5+plN/f+zf7RiZNV/563aU5Fqb49bZJ+2bhbt249+BdXDJ3flZSJe3KyfBTQoQwpsHR0dGjp0qW65557NGrUW38sWltb9f3vf1+33nqrTj/9dJ100km699579fTTT2v16tX9bssYo9tuu01f+9rX9MEPflAzZszQD3/4Q9XX1+vXv/71kN4UAGDkfG3xcYq8rVL+mEJ9alylTq+MybYsdXqe1r7Z8fYbWxv08+27Aq40t/hdSSWbumRSRm5l7s8/NKTActFFF+nMM8/UggUL+ixft26dkslkn+XTpk3TpEmT9Mwzz/S7rS1btqihoaHPc8rLyzVnzpwDPgcAEC4vnztXtx4/ST+u36kL/rZVE5/4i45+aqO+/8aO9DqrWzsCrDC3+AlPfndKkepiObHcGg10IIM+2XX//fdr/fr1Wrt27X6PNTQ0qKCgQBUVFX2W19TUqKGhod/t7VleU1Mz4OfE43HF4/H0/ba2tsG8BQDAMPjnsZUqdRxd+PetfZZ/rHa0PjexSseVZNe1a8LMa4krUl0cdBkjalCBpa6uTpdccolWrVqlwsLgPnjLly/X9ddfH9jrAwD6d1Z1hSLWkfr8C9v0PzOP0exYsSyL6cIzLg936aBOCa1bt05NTU2aPXu2XNeV67p68skndfvtt8t1XdXU1CiRSKilpaXP8xobG1VbW9vvNvcs33ck0cGes2zZMrW2tqZvdXV1g3kbg5aHnwsAGLLFVRXa+u636aTyEsLKMEjt6sn5Drb9GVRgmT9/vjZu3KgNGzakbyeffLKWLl2a/jkSieixxx5LP2fTpk167bXXNG/evH63OXnyZNXW1vZ5Tltbm9asWXPA50SjUcVisT43AABymR/3lGzukuXasgucoMsZcYM6JVRWVqbp06f3WVZSUqLKysr08vPPP1+XXXaZRo8erVgsposvvljz5s3T3Llz08+ZNm2ali9frrPPPjs9j8uNN96oKVOmaPLkybr66qs1btw4fehDHzr8dwgAQBYznq/Ujm7Zha4iVfnVb2VvGZ9h5lvf+pZs29aSJUsUj8e1cOFCffe73+2zzqZNm9Ta2pq+f8UVV6izs1MXXnihWlpadOqpp2rlypWB9pMBACBofsKTt7tHkZqSoEsJnGVyYPrBtrY2lZeXq7W1NeOnh0zSl9+VzMvzhQCAYCWbu3K6VWUwx+/cvOAAAAA5gE7LbyGwAACA0COwHFLWnzEDACDrEVgAAAgpvjK/hcACAABCj8ACADmmJZnSps4e5cAg0Lxn2ZaM5wddRigQWAAgh9z+4huafu/TevefX9BNr24PuhwcJuMbWQ6HaonAMjCMKgOQJQp2xuW+2i6lfN35WhOtLNnO599vj4zPdAsACM6/nnqU/lDk6am2To2O5N/1ZnKBSfnyO5Pye1JyYkxaugeBBQByzM9mHyNLks2kY1nF60jI70rJKrDllESYYX0fBBYAyDEOQSXr+F1JmbinSHXuTsN/uAgsAAAEyGtLyPi+3MqioEsJNQILAAAjzBgjrzUuk/Bll0TkxgqDLin0CCwAAAyTVGtcJuHtdxFDI8ktL5BVQcfogSKwAADwJj/hyW9LyKjvjBZ2sSu7ODKobSWbu+SUFcim82xGEFgAAHnNj3vy2uKSZcmK2HIqC/drEfE6k0ru6JaMkV3oyikrOOg2Uzu75cQKZEc5zGYKe/IQmHMJAHKTSXpK7Y7LjjqKVB18dI5TEpFT0tvC4nenlGzqkl3syindP7ikWuKyCl3CSoaxNwEAecdrjcuk/CENI7aLXNlFrrz2hJKNnXKri9MtMl57QpZtpcMNMoep+QEAeSW5o1ty7cMeRuyUFcitKlayvlPG8+V1JGQ8X07s4KeLMDQElgFhEiYA2cE3vh7d+qj+ddW/6j0/f49e2f1K0CWFSm9H2EjGWkAs21JkXIlSzd2SZ+RWMDx5uBBYACAHtPS06PHXHtcFj16gLz/5ZXUkO1RWUKZLn7hU7Yn2oMsLhdSuHjmlme8Ia1mWIrUlTKU/zOjDAgBZ7I2ON7Tofxal7x9dfrRWLFihU8afotfaXtPHf/txXfWnq/Tt935btpW/31G9zqQs15JdxGEvW+XvpxcAckB5Qbkk6bjRx+mRcx7Rrz74K50y/hRJ0qTYJN38rpv1ZN2T+t5fvxdkmYEyxsjvSHDl4yxHYAGALFZaUKpJZZP00u6X1NTVtN/8IadNOE2fn/l5fWfDd/TBX39QH3/443q+6fmAqg1Gake33EMMW0b4EVgAIMvd9t7bNH3MdH3lya/I8739Hv/cjM/pE8d9QhXRCv1959/1qf/7lBo6GwKodOSZlC/LtmTZDJ7IdgQWAMhyU0ZN0f+b8//U3N2sBzc/+NYDP/mI9J05si1bV77jSv334v/W9MrpkpQ3/VlSu3vkjGbkTi7Ij08sAOS44yqP0+kTT9c1T1+j1nhr78Ld26SOxj7r1ZTU6J3j36nq4uoAqhxZ5s2pyvc9TYbsRGABgBzx9tq3S5I+9vDHtHr7aukLz0pXbu2zzu6e3SqNlAZQ3cjzWuJyR9G6kisILACQI5Ycu0TvHP9OvdHxhi549IJ++6ns7NmpYjc/OqCalC/L5TCXKxiQDgyQGeKVMGmOxkgpcot094K7defzd2rFX1foRy/8SMeOOla+8eUbX57xtKtnl5q7m4MudWTwu5dTCCyHYLm2vJ64TOLNnveH+/kf4tWfzYFemt/H3DCEz8Wep1jp//SzHUsH+fD0t6F97u+9Pesgj2VAnzIP9bke6Gvvu50Arr5uPF+WM7Lf8t9bcqoeTPyvVm34P63S/6WX25alCpXoXUfMVWpH9wGf3+9H5nD/zTP1t3Og2zGSW8G8K7mEwHIIlm0N6WqeABCUE8bM1KPH/kHdqW65tivHcvJmVBByF4EFAHJUkXt4VyMGwoTIDQAAQo/AAgAAQo/AAgAAQo/AAgAAQo/AAgAAQo/AAgAAQo/AAgAAQo/AAgAAQo/AAgAAQo/AAgAAQo/AAgAAQo/AAgAAQo/AAgAAQi8nrtZsjJEktbW1BVwJAAAYqD3H7T3H8YPJicDS3t4uSZo4cWLAlQAAgMFqb29XeXn5QdexzEBiTcj5vq/6+nqVlZXJsqygyxlRbW1tmjhxourq6hSLxYIuJ2uw3waPfTZ47LOhYb8NXrbuM2OM2tvbNW7cONn2wXup5EQLi23bmjBhQtBlBCoWi2XVhzQs2G+Dxz4bPPbZ0LDfBi8b99mhWlb2oNMtAAAIPQILAAAIPQJLlotGo7r22msVjUaDLiWrsN8Gj302eOyzoWG/DV4+7LOc6HQLAAByGy0sAAAg9AgsAAAg9AgsAAAg9AgsAAAg9AgsWeyll17SBz/4QY0ZM0axWEynnnqqHn/88T7rvPbaazrzzDNVXFys6upqfeUrX1EqlQqo4mA98cQTsiyr39vatWvT6/3iF7/QzJkzVVxcrCOOOELf+MY3Aqw6eAPdb7/73e80d+5clZWVqaqqSkuWLNHWrVuDKzxAA9ln1113Xb+Pl5SUBFx9MAb6OTPG6Jvf/KaOPfZYRaNRjR8/XjfddFOAlQdrIPtt69at/T6+evXqgKsfJIOsNWXKFPP+97/f/OUvfzEvvfSS+bd/+zdTXFxstm/fbowxJpVKmenTp5sFCxaY559/3jzyyCNmzJgxZtmyZQFXHox4PG62b9/e5/bZz37WTJ482fi+b4wx5pFHHjGu65q77rrLbN682Tz88MNm7Nix5o477gi4+uAMZL+9+uqrJhqNmmXLlplXXnnFrFu3zpx22mlm1qxZAVcfjIHss/b29v3WOf74482nP/3pYIsPyED2mTHGXHzxxWbq1KnmN7/5jXn11VfNc889Zx599NEAKw/WQPbbli1bjCTz+9//vs96iUQi4OoHh8CSpZqbm40k89RTT6WXtbW1GUlm1apVxpjeg69t26ahoSG9zl133WVisZiJx+MjXnPYJBIJU1VVZf793/89vezcc881H/7wh/usd/vtt5sJEyb0+aOZz/rbbw888IBxXdd4npde9uCDDxrLsrLuj+Jw6G+f7WvDhg37/U7ns/722QsvvGBc1zX/+Mc/Aqws3Prbb3sCy/PPPx9cYRnAKaEsVVlZqalTp+qHP/yhOjs7lUqltGLFClVXV+ukk06SJD3zzDM68cQTVVNTk37ewoUL1dbWpr///e9BlR4aDz74oHbu3KnzzjsvvSwej6uwsLDPekVFRXr99de1bdu2kS4xlPrbbyeddJJs29a9994rz/PU2tqqH/3oR1qwYIEikUiA1YZDf/tsX//1X/+lY489Vu9617tGsLLw6m+fPfTQQzrqqKP08MMPa/LkyTryyCP12c9+Vrt27Qqw0nA52GftrLPOUnV1tU499VQ9+OCDAVR3mIJOTBi6uro6c9JJJxnLsozjOGbs2LFm/fr16ccvuOACc8YZZ/R5Tmdnp5FkHnnkkZEuN3QWL15sFi9e3GfZihUrTHFxsfn9739vPM8zmzZtMtOmTTOSzNNPPx1QpeHS334zxpgnnnjCVFdXG8dxjCQzb948s3v37pEvMIQOtM/26O7uNqNGjTL/+Z//OYJVhVt/++xzn/uciUajZs6cOeapp54yjz/+uJk5c6Z573vfG1CV4dPffmtubja33HKLWb16tXn22WfNlVdeaSzLMr/5zW8CqnJoCCwhc+WVVxpJB729+OKLxvd9c9ZZZ5nFixebP/3pT2bdunXm85//vBk/frypr683xuRPYBnoPttbXV2dsW3b/PKXv+yz3Pd9c8UVV5jCwkLjOI4ZNWqUue6664wks3r16pF8W8Muk/tt+/btZsqUKeYrX/mKWb9+vXnyySfNu9/9bjN//vycOpWWyX22t5/+9KfGdd0+p29zRSb32QUXXGAkmU2bNqWXrVu3zkjKudNEw/VZ2+OTn/ykOfXUU4er/GHB1Pwh09zcrJ07dx50naOOOkp//OMfdcYZZ2j37t19LiU+ZcoUnX/++frqV7+qa665Rg8++KA2bNiQfnzLli066qijtH79es2aNWu43saIGug+KygoSN+/4YYbdMcdd+iNN97o95SF53lqaGhQVVWVHnvsMb3//e9XU1OTqqqqMl5/UDK5366++mqtXLmyz2iO119/XRMnTtQzzzyjuXPnZv4NBGA4PmuSNH/+fMViMf3qV7/KaL1hkMl9du211+o//uM/lEwm08u6u7tVXFysRx99VO973/sy/wYCMlyftT2+853v6MYbb9T27dszUu9IcIMuAH1VVVUN6KDY1dUlSbLtvt2QbNuW7/uSpHnz5ummm25SU1OTqqurJUmrVq1SLBbT8ccfn+HKgzPQfbaHMUb33nuvPvWpTx3wl9pxHI0fP16S9LOf/Uzz5s3LqbAiZXa/dXV17fdZdBxHktKfx1wwHJ+1LVu26PHHH8/OPgUDkMl99s53vlOpVEqbN2/W0UcfLal3egdJOuKIIzJXdAgMx2dtbxs2bNDYsWMPp8SRF2DrDg5Dc3OzqaysNOecc47ZsGGD2bRpk7n88stNJBIxGzZsMMa8Naz5jDPOMBs2bDArV640VVVVeTuseY/f//73/TanGtO7X++66y7z4osvmueff9588YtfNIWFhWbNmjUBVBouB9tvjz32mLEsy1x//fXmpZdeMuvWrTMLFy40RxxxhOnq6gqg2nA42D7b42tf+5oZN26cSaVSI1hZeB1sn3meZ2bPnm1OO+00s379evPcc8+ZOXPmmPe9730BVBouB9tv9913n/npT39qXnzxRfPiiy+am266ydi2bX7wgx8EUOnQEViy2Nq1a80ZZ5xhRo8ebcrKyszcuXP365uydetWs3jxYlNUVGTGjBljvvzlL5tkMhlQxeFw7rnnmlNOOaXfx5qbm83cuXNNSUmJKS4uNvPnz8+5vitDdbD9ZowxP/vZz8ysWbNMSUmJqaqqMmedddZBD9T54FD7zPM8M2HCBHPVVVeNYFXhdqh99sYbb5hzzjnHlJaWmpqaGvOZz3zG7Ny5cwQrDKeD7bf77rvPHHfccaa4uNjEYjHzjne8wzzwwAMjXOHhow8LAAAIPeZhAQAAoUdgAQAAoUdgAQAAoUdgAQAAoUdgAQAAoUdgAQAAoUdgAQAAoUdgAQAAoUdgAQAAoUdgAQAAoUdgAQAAoUdgAQAAoff/AaS7RuYK9dpIAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For this state, do we have a lot of populated fragmented VTDs?\")\n",
    "nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "print(len(fragmentedVTDs),\"fragmented VTDs out of\",nVTDs)\n",
    "fragPop = [tractPop[v] for v in fragmentedVTDs]\n",
    "plt.hist(fragPop)\n",
    "plt.show()\n",
    "print(\"FYI, here are the locations of fragmented VTDs with pop > 3000\")\n",
    "for v in fragmentedVTDs:\n",
    "    if tractPop[v] > 3000:\n",
    "        plotPoly(vtdGeom[v])\n",
    "plotPoly(MAP,0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "71d771f8-dbe2-48f9-a702-9f66a62d1174",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\n",
      "I split up 109 fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\n",
      "looking for surrounds, now working on vtd 0\n",
      "WARNING. vtd frag 299 in county 14 intersected county 22 but had no intracounty neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "looking for surrounds, now working on vtd 500\n",
      "looking for surrounds, now working on vtd 1000\n",
      "looking for surrounds, now working on vtd 1500\n",
      "looking for surrounds, now working on vtd 2000\n",
      "looking for surrounds, now working on vtd 2500\n",
      "looking for surrounds, now working on vtd 3000\n",
      "looking for surrounds, now working on vtd 3500\n",
      "looking for surrounds, now working on vtd 4000\n",
      "looking for surrounds, now working on vtd 4500\n",
      "looking for surrounds, now working on vtd 5000\n",
      "looking for surrounds, now working on vtd 5500\n",
      "looking for surrounds, now working on vtd 6001\n",
      "looking for surrounds, now working on vtd 6501\n",
      "looking for surrounds, now working on vtd 7001\n",
      "looking for surrounds, now working on vtd 7501\n",
      "looking for surrounds, now working on vtd 8001\n",
      "looking for surrounds, now working on vtd 8501\n",
      "looking for surrounds, now working on vtd 9001\n",
      "special for PA , I believe that [7240, 7701] are surrounded by vtd (fragment) 6447 . Here, let me show you\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to apply the surrounding operation 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After surround checks, we appear to have 8800 building blocks defined. We captured 238 surrounded VTDs\n",
      "working on unit neighbor lists for county 0\n",
      "WARNING - unit 771  = vtd 824 in county 15 has only 1 neighbor= [2170] . Optional triage in next block\n",
      "working on unit neighbor lists for county 20\n",
      "working on unit neighbor lists for county 40\n",
      "working on unit neighbor lists for county 60\n",
      "All done creating unit lists\n"
     ]
    }
   ],
   "source": [
    "#3/2/24 - split up all multipoly VTDs into fragments, divvy pop by area\n",
    "unitPop, unitCP, unitGeom, nbrUnitGeom, allUnits = list(), list(), list(), list(), list()\n",
    "vtdUnits, countyUnits, borderUnits = list(),list(),list()\n",
    "countyUnitList = [list() for c in range(nCounties) ]\n",
    "surroundedVTDs, surrounders = list(), list()  #vtds that are surrounded by another vtd - problem for later enclaves, xfer their pops to surrounders\n",
    "#These surrounded VTDs don't get transferred to the unit list\n",
    "print(\"Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\")\n",
    "for c in unitCounties:\n",
    "    unitCP.append(countyCP[c])\n",
    "    unitPop.append(countyPop[c])\n",
    "    unitGeom.append(   countyGeom[c] )\n",
    "    nbrUnitGeom.append(countyGeom[c] )\n",
    "    countyUnits.append(c)\n",
    "    allUnits.append(c+0.5)  #use non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nVTDneighbors = [0 for v in range(nVTDs)] #this loop -- just checking for surrounded VTDs\n",
    "lastVTDneighbor = [-999 for v in range(nVTDs)]\n",
    "\n",
    "nFragmentedVTDs,fragmentedVTDs, coastalFragmentedVTDs = 0, list(), list()  #a prev version treated coastal separately\n",
    "fragVTDgeom, parentVTDno, fragVTDpop = vtdGeom.to_list(), [v for v in range(nVTDs)], tractPop.to_list()  #these lists will expand to include vtd fragments \n",
    "origVTDgeom = vtdGeom.copy() #we create a parallel fragVTDgeom list which grabs the 1st fragment, then append fragments to the total list\n",
    "origVTDpop = tractPop.copy()\n",
    "VTDchildren = [[v] for v in range(nVTDs)]  #the list of all fragment numbers associated with the original VTD, including ones that get surrounded\n",
    "countyFragVTDset = [set(countyTractList[c]) for c in range(nCounties)]\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "            geos, areas = [geo for geo in vtdGeom[v].geoms ], [geo.area for geo in vtdGeom[v].geoms]\n",
    "            for i, geo in enumerate(geos):\n",
    "                if i == 0:\n",
    "                    fragVTDgeom[v] = geo\n",
    "                    fragVTDpop[v] = tractPop[v] * areas[i] / np.sum(areas)  #overwrite, then distribute balance below\n",
    "                else:\n",
    "                    fNo = len(fragVTDgeom)\n",
    "                    fragVTDgeom.append(geo)\n",
    "                    fragVTDpop.append( tractPop[v] * areas[i] / np.sum(areas) )\n",
    "                    parentVTDno.append(v)\n",
    "                    countyFragVTDset[c].add(fNo )\n",
    "                    VTDchildren[v].append(fNo)\n",
    "                    nVTDneighbors.append(0)\n",
    "                    lastVTDneighbor.append(-999)\n",
    "                    \n",
    "print(\"I split up\",nFragmentedVTDs,\"fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\")\n",
    "\n",
    "debugV = -7616\n",
    "for kk,V in enumerate(populatedTractList):\n",
    "    if kk%500 == 0:\n",
    "        print(\"looking for surrounds, now working on vtd\",V)\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties:\n",
    "        for v in VTDchildren[V]:\n",
    "            for vv in countyFragVTDset[c].difference({v}) :\n",
    "                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                    nVTDneighbors[v] +=1\n",
    "                    lastVTDneighbor[v] = vv\n",
    "                    if v == debugV:\n",
    "                        print(\"I just added neighbor\",vv,\"to magicV\",v)\n",
    "                #if nVTDneighbors[v] >= 4:  #Enough to have >=2 even after surrounds.  Will do full neighbor list later\n",
    "                #    break\n",
    "            if nVTDneighbors[v] < 4:  #OK if a vtd has only 1 intracounty neighbor IF it touches another county, it's not surrounded\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if fragVTDgeom[v].intersects(countyGeom[cc]):\n",
    "                        if cc not in unitCounties + allFusedCounties:\n",
    "                            for vv in countyFragVTDset[cc] :\n",
    "                                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                                    nVTDneighbors[v] +=1\n",
    "                                    lastVTDneighbor[v] = vv\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                print(\"WARNING. vtd frag\",v,\"in county\",c,\"intersected county\",cc,\"but had no intracounty neighbors\")\n",
    "                                plotPoly(fragVTDgeom[v],2)\n",
    "                                plotCenter(\"iso\",fragVTDgeom[v])\n",
    "                                plotPoly(countyGeom[cc])\n",
    "                                plt.show()\n",
    "                        else:\n",
    "                            nVTDneighbors[v] +=1\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                raise Exception(\"neighborless vtd fragment\",v,\"neighbors a unit or fused county\",cc)                                \n",
    "            if v == debugV:\n",
    "                print(v,\"has\",nVTDneighbors[v],\"neighbors.  its last is\",lastVTDneighbor[v])\n",
    "                \n",
    "for loop in range(3): #to catch surrounds of surrounds\n",
    "    for V in populatedTractList:\n",
    "        c = countyNo[V]\n",
    "        if c not in allFusedCounties and c not in unitCounties: \n",
    "            for v in VTDchildren[V]:\n",
    "                if nVTDneighbors[v] == 1:\n",
    "                    vv = lastVTDneighbor[v]\n",
    "                    if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                        for sNo, s in enumerate(surroundedVTDs):\n",
    "                            if surrounders[sNo] == v:\n",
    "                                surrounders[sNo] = vv\n",
    "                    surroundedVTDs.append(v)\n",
    "                    surrounders.append(vv)\n",
    "                    nVTDneighbors[vv] -=1\n",
    "                    nVTDneighbors[v] -=1 #in case this surrounder becomes a later surroundee\n",
    "                    fragVTDpop[vv] += fragVTDpop[v]\n",
    "                    fragVTDpop[v] = 0\n",
    "                    if lastVTDneighbor[vv] == v:  #find another neighbor in case this surrounder is also a surroundee in loop 2\n",
    "                        for vvv in countyFragVTDset[c]:\n",
    "                            if vvv not in [v,vv]:\n",
    "                                if fragVTDgeom[vvv].intersects(fragVTDgeom[vv]):\n",
    "                                    lastVTDneighbor[vv] = vvv\n",
    "                    if lastVTDneighbor[vv] == v:\n",
    "                        print(\"WARNING.  We did not find another neighbor of surrounder\",vv,\"other than surroundee\",v)\n",
    "                    if loop > 0:\n",
    "                        print(\"On loop\",loop+1,\"for county\",c,\" we found that vtd frag\",v,\"now has only 1 neighbor\",vv)\n",
    "if STATE == \"PA\":  #state-specific manual surround enforcement\n",
    "    specialSurrounded = [7240, 7701]\n",
    "    specialSurrounder = 6447\n",
    "    print(\"special for\",STATE,\", I believe that\", specialSurrounded,\"are surrounded by vtd (fragment)\",specialSurrounder,\". Here, let me show you\")\n",
    "    c = countyNo[parentVTDno[specialSurrounder]]\n",
    "    plotPoly(countyGeom[c], 0.5)\n",
    "    for v in specialSurrounded:\n",
    "        plotPoly(fragVTDgeom[v])\n",
    "        plotCenter(v,fragVTDgeom[v])\n",
    "    plotPoly(fragVTDgeom[specialSurrounder],0.2)\n",
    "    plotCenter(specialSurrounder, fragVTDgeom[specialSurrounder], 8)\n",
    "    plt.show()\n",
    "    shouldIcombine = int(input(\"enter 1 to apply the surrounding operation\"))\n",
    "    if shouldIcombine == 1:\n",
    "        for v in specialSurrounded:\n",
    "            vv = specialSurrounder\n",
    "            if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                for sNo, s in enumerate(surroundedVTDs):\n",
    "                    if surrounders[sNo] == v:\n",
    "                        surrounders[sNo] = vv\n",
    "            surroundedVTDs.append(v)\n",
    "            surrounders.append(vv)\n",
    "            nVTDneighbors[vv] -=1\n",
    "            nVTDneighbors[v] = 0 #we are capturing all surroundees (some of whom may touch other surroundees)\n",
    "            fragVTDpop[vv] += fragVTDpop[v]\n",
    "            fragVTDpop[v] = 0\n",
    "\n",
    "\n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] >1:\n",
    "                unitCP.append(fragVTDgeom[v].centroid)\n",
    "                unitGeom.append(fragVTDgeom[v])\n",
    "                unitPop.append(fragVTDpop[v])   #for now, ratio pop by area, not block decomposition\n",
    "                vtdUnits.append(v)   #if a border unit, we'll catch in below big loop, after checking for surround\n",
    "                allUnits.append(v)\n",
    "#for V in populatedTractList:\n",
    "#    c = countyNo[V]\n",
    "#    if c not in allFusedCounties and c not in unitCounties:  \n",
    "#        for v in VTDchildren[V]: \n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] == 1:  #a surrounded VTD, transfer its pop to surrounder unit.  Don't bother with shifting centerpoints\n",
    "                print(\"somehow we missed 1-neighbor vtd frag\",v,\" with last vtd frag nbr\",lastVTDneighbor[v])\n",
    "            if nVTDneighbors[v] == 0 and v not in surroundedVTDs:\n",
    "                print(\"WARNING. unsurrounded vtd\",v,\"had no found neighbors\")\n",
    "\n",
    "for i, L in enumerate(CCBlist):\n",
    "    unitCP.append( CCBcp[i] )\n",
    "    unitPop.append(CCBpop[i])\n",
    "    unitGeom.append(   CCBgeom[i])\n",
    "    nbrUnitGeom.append(CCBgeom[i])\n",
    "    allUnits.append(i+0.25)  #use alt non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nUnits = len(allUnits)\n",
    "print(\"After surround checks, we appear to have\",nUnits,\"building blocks defined. We captured\",len(surroundedVTDs),\"surrounded VTDs\")\n",
    "\n",
    "unitNbrs = [list() for u in range(nUnits)]\n",
    "countyUnitList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    for v in countyFragVTDset[c]:\n",
    "        if v in allUnits:\n",
    "            countyUnitList[c].append(allUnits.index(v))\n",
    "\n",
    "sketchyList = list()\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"working on unit neighbor lists for county\",c)\n",
    "    if c not in allFusedCounties:  #see a separate loop below for cluster-cluster neighbors\n",
    "        if c in unitCounties:    \n",
    "            u = allUnits.index(c+0.5)\n",
    "            for cc in neighborCountyList[c]:\n",
    "                if cc not in allFusedCounties:\n",
    "                    if cc in unitCounties:\n",
    "                        unitNbrs[u].append(allUnits.index(cc+0.5))  #we'll catch the complement in the cc county's loop\n",
    "                    else:\n",
    "                        for uu in countyUnitList[cc] :\n",
    "                            if countyGeom[c].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu)\n",
    "                                unitNbrs[uu].append(u)\n",
    "            for i,geo in enumerate(CCBgeom):\n",
    "                if geo.intersects(countyGeom[c]):\n",
    "                    unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                    unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "        else:  #non-unit county      \n",
    "            for u in countyUnitList[c] :\n",
    "                for uu in list( set(countyUnitList[c]).difference({u}) ) :\n",
    "                    if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                        unitNbrs[u].append(uu )  #will catch complement later in this county's loop\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if cc not in allFusedCounties and cc not in unitCounties: #see an above block for handling unitCounties\n",
    "                        for uu in countyUnitList[cc]:\n",
    "                            if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu )\n",
    "\n",
    "            for u in countyUnitList[c] :\n",
    "                for i,geo in enumerate(CCBgeom):\n",
    "                    if geo.intersects(unitGeom[u]):\n",
    "                        unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                        unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "                if len(unitNbrs[u]) == 0:\n",
    "                    print(\"ERROR - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has no neighbors\")\n",
    "                if len(unitNbrs[u]) == 1:  #after fragmentation, this unit appears surrounded.  Next block to confirm it has non-intracounty neighbors                       \n",
    "                    print(\"WARNING - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has only 1 neighbor=\",unitNbrs[u],\". Optional triage in next block\")\n",
    "                    sketchyList.append([u,unitNbrs[u][0] ] )\n",
    "\n",
    "CCBunits = CCBlist.copy()                        \n",
    "for i, geo in enumerate(CCBgeom):  #this loop: only cluster-cluster intersections.  Cluster-vtd and cluster-county neighbors already found above.\n",
    "    for ii in range(i+1,len(CCBgeom) ) :\n",
    "        if geo.intersects(CCBgeom[ii]):\n",
    "            unitNbrs[allUnits.index(i+0.25) ].append(allUnits.index(ii+0.25) ) #all CCB-county, CCB-vtd intersxns already covered\n",
    "            unitNbrs[allUnits.index(ii+0.25)].append(allUnits.index(i+0.25) )\n",
    "print(\"All done creating unit lists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "94741893-6835-45ac-9793-64cbaf4823b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sketchy unit 771 has neighbor list [2170, 1]\n"
     ]
    }
   ],
   "source": [
    "for L in sketchyList:  #hope that some of these flagged units picked up unit-county or CCB neighbors\n",
    "    print(\"sketchy unit\",L[0], \"has neighbor list\",unitNbrs[L[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cb4277b4-d6ef-4c8c-aa23-6fde227379ff",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if allUnits[u] - int(allUnits[u]) == 0.25:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8378940d-4387-4188-8ae1-a62010500ecb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now build the border topology\n",
      "counties and clusters done, now working on (frag) vtd-based units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now build the border topology\")\n",
    "borderUnits, borderType = list(), list()\n",
    "for c in borderCounties:\n",
    "    if c in unitCounties:\n",
    "        borderUnits.append(allUnits.index(c+0.5))\n",
    "        borderType.append(\"county\")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if CCBgeom[i].intersects(MAPexterior):  #should always be the case\n",
    "        borderUnits.append(allUnits.index(i+0.25))\n",
    "        borderType.append(\"cluster\")\n",
    "print(\"counties and clusters done, now working on (frag) vtd-based units\")\n",
    "for c in borderCounties:\n",
    "    if c not in unitCounties + allFusedCounties:\n",
    "        for u in countyUnitList[c]:\n",
    "            if unitGeom[u].intersects(MAPexterior):\n",
    "                borderUnits.append(u)\n",
    "                borderType.append(\"vtd\")                \n",
    "    \n",
    "for i,b in enumerate(borderUnits):\n",
    "    plotPoly(unitGeom[b])\n",
    "    if borderType[i] == \"cluster\":\n",
    "        j = int(allUnits[b])\n",
    "        for c in CCBlist[j]:\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "            plotCenter(\"fused\",countyGeom[c], 6)\n",
    "for c in unitCounties:\n",
    "    plotPoly(countyGeom[c],0.4)\n",
    "    plotCenter(\"unit\",countyGeom[c],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "937d923d-9e95-45e9-9aef-77cb4377781d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 237\n"
     ]
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "for u in borderUnits:\n",
    "    isUnbroken, smallPieceList = isContiguous(list(set(borderUnits).difference({u})),unitNbrs)\n",
    "    if not isUnbroken:\n",
    "        print(\"border is discontig if we skip\",u)\n",
    "        for uu in smallPieceList:\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "            plotCenter(\"n\"+str(uu),unitGeom[uu])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "        print(\"above is with unit numbers; below is VTDfrag nos\")\n",
    "        for uu in smallPieceList:\n",
    "            vv = allUnits[uu]\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "            plotCenter(\"v\"+str(vv),unitGeom[uu],8)\n",
    "        v = allUnits[u]\n",
    "        plotCenter(v,unitGeom[u],8)\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "borderSet = set(borderUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "93603f77-77fa-4453-b54b-5ea07fcb6721",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here, we identify 'border' units that aren't needed to define the map border\n",
      "We already went through this loop once and found a specialSurround set\n",
      "Bueno! no 'border units' that could be eliminated from the border set\n"
     ]
    }
   ],
   "source": [
    "print(\"here, we identify 'border' units that aren't needed to define the map border\")\n",
    "print(\"We already went through this loop once and found a specialSurround set\")\n",
    "canBeRemoved, powerNeighbors = set(), set()\n",
    "for u in borderUnits:\n",
    "    uNeighbors = list(borderSet.intersection(set(unitNbrs[u])) )\n",
    "    if len(uNeighbors) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        uu = uNeighbors[0]\n",
    "        otherBorderNeighbors = set(unitNbrs[uu]).intersection(borderSet).difference({u})\n",
    "        if len(otherBorderNeighbors) > 1:  #this neighbor of our 1-border-neighbor border unit makes a border chain without the problem border unit\n",
    "            canBeRemoved.add(u)\n",
    "            powerNeighbors.add(uu)\n",
    "        plotCenter(uu,unitGeom[uu],6)\n",
    "        plotPoly(unitGeom[uu],0.5)\n",
    "        for uuu in set(unitNbrs[uu]).intersection(borderSet).difference({u}):\n",
    "            plotPoly(unitGeom[uuu])\n",
    "            plotCenter(str(uuu)+\"=N of\"+str(uu),unitGeom[uuu])\n",
    "        for uuu in set(unitNbrs[u]).difference(borderSet):\n",
    "                plotCenter(uuu+0.1,unitGeom[uuu],6)\n",
    "                plotPoly(unitGeom[uuu],0.1)\n",
    "        c = countyNo[allUnits[u]]\n",
    "        #plotPoly(countyGeom[c] )\n",
    "        #plotCenter(c, countyGeom[c])\n",
    "        plt.show()\n",
    "if len(canBeRemoved) == 0:\n",
    "    print(\"Bueno! no 'border units' that could be eliminated from the border set\")\n",
    "else:\n",
    "    print(canBeRemoved,\"is the list of 1-neighbor 'border' units that can be eliminated from the border set\")\n",
    "    print(\"... as they are enveloped on the border; the enveloping border unit has two other map-border neighbors\")\n",
    "    yesRemove = input(\"enter 1 to remove these from the list of border units\")\n",
    "    if int(yesRemove) == 1:\n",
    "        canRemove = True\n",
    "        for uu in powerNeighbors:\n",
    "            testSet = (borderSet.difference(canBeRemoved)).difference({uu})\n",
    "            if not isContiguous(list(testSet),unitNbrs):\n",
    "                canRemove = False\n",
    "                print(\"We can't complete the border if unit\",uu,\"is not included in the ring\")\n",
    "        if canRemove:\n",
    "            borderSet = borderSet.difference(canBeRemoved)\n",
    "            borderList = list(borderSet)\n",
    "            borderUnits = list(borderSet)\n",
    "            print(\"Success! we removed\",canBeRemoved,\"from the list of borderUnits\")\n",
    "    else:\n",
    "        print(\"Fine, be that way.  Sheesh, I will keep them.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "b13c68e3-33ed-48b3-acca-78012ce0bf61",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is the final border set\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "print(\"here is the final border set\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "173bb175-312b-4d08-a5b5-80a1d5d70416",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print(isContiguous(borderUnits,unitNbrs)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "fc1ae6e1-ef52-412b-a966-e9739071af8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For safekeeping, write the unit topology to a file\n"
     ]
    }
   ],
   "source": [
    "date_ = \"09May24\"\n",
    "print(\"For safekeeping, write the unit topology to a file\")  \n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        #for i,uu in enumerate(surrounders):  #no longer tracked\n",
    "         #   if u == uu:\n",
    "         #       unitVTDlist[u].append(surroundedVTDs[i])\n",
    "                \n",
    "unitNo = [u for u in range(nUnits)]\n",
    "unitCPx, unitCPy = [unitCP[u].x for u in range(nUnits)], [unitCP[u].y for u in range(nUnits)]\n",
    "onBorder = [0 for u in range(nUnits)]\n",
    "for u in borderUnits:\n",
    "    onBorder[u] = 1\n",
    "nbrDF = pd.DataFrame( {\"unitNo\":unitNo,\"centroid x\":unitCPx,\"centroid y\":unitCPy,\"unitPop\":unitPop,\"onBorder\":onBorder,\n",
    "                       \"neighborList\":unitNbrs, \"unitVTDlist\":unitVTDlist, \"unitParentVTDno\": unitParentVTDno, \"allUnits\":allUnits} )\n",
    "outname = STATE+\"unitTopologies_\"+date_+\".csv\" \n",
    "outpath = \"state_map_files/\"+outname\n",
    "nbrDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d4baaea4-7af4-4407-aeb3-f4291d335f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "vtdGeom = tractGeom.copy()  #optional reset if we need to rerun the below clipPoly routine with alternate clipPolys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "abdd07e7-f9be-480a-9d3d-b3948eeaaa2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "toSquishCountiesList = list()   #default; if we did not have any clipPoly's to move in\n",
    "nClips = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "4d5fdc3c-6126-4fa8-b484-1d0052c70aed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for some states like FL, MD, MN, NC we move in partial counties via clipPoly's before running option 2\n",
      "adding code here to 'push in' state panhandles ...\n",
      "performing squish no 1 for state NJ\n",
      "clipPoly 0 intersects [4] counties and a total of 85 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 1 out of 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 when ready 1\n"
     ]
    }
   ],
   "source": [
    "#starting with MN, we moved the \"option2\" block earlier in the notebook, as we run it before running option 1 (as in other states)\n",
    "print(\"for some states like FL, MD, MN, NC we move in partial counties via clipPoly's before running option 2\")\n",
    "vtdCP = tractCP.copy()\n",
    "#CODE TO SQUISH GEOMETRIES FROM CLIP LINES INTO THE MAP\n",
    "print(\"adding code here to 'push in' state panhandles ...\")\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "#Adding in here trimming ops\n",
    "toSquishUnitsList = list()\n",
    "toSquishGeomsList = list()  #combined list of geoms we will squish (over all squish operations)\n",
    "toSquishCountiesList = list()\n",
    "squishedShapesList = list()   #unit shapes after squishing, list over all squish operations\n",
    "if nClips > 0:\n",
    "    clipPoints = ast.literal_eval(trimDF[\"clipPoints\"][DFrow])   #sets of four points\n",
    "    farPoints  = ast.literal_eval(trimDF[\"farPoints\"][DFrow])    #pairs of points\n",
    "    newFarPoints  = ast.literal_eval(trimDF[\"newFarPoints\"][DFrow])   #pairs\n",
    "    cPts = [Point(clipPoints[i][0],clipPoints[i][1]) for i in range(len(clipPoints)) ]\n",
    "    fPts = [Point(farPoints[i][0],farPoints[i][1]) for i in range(len(farPoints)) ]\n",
    "    nfPts = [Point(newFarPoints[i][0],newFarPoints[i][1]) for i in range(len(newFarPoints)) ]\n",
    "    \n",
    "    for clipNo in range(nClips):\n",
    "        print(\"performing squish no\",clipNo+1,\"for state\",STATE)\n",
    "        n0,n1,n2,n3 = int(4*clipNo), int(4*clipNo+1), int(4*clipNo+2), int(4*clipNo+3)\n",
    "        clipPoly = Polygon([cPts[n0],cPts[n1],cPts[n2],cPts[n3] ] )\n",
    "        cutLine = LineString([cPts[n0],cPts[n1]] )\n",
    "        farLine = LineString([fPts[int(2*clipNo)],fPts[int(2*clipNo+1)] ] )\n",
    "        newFarLine = LineString([nfPts[int(2*clipNo)],nfPts[int(2*clipNo+1)] ])\n",
    "        \n",
    "        toSquishCounties = list()\n",
    "        toSquishUnits = list()\n",
    "        for c in range(nCounties):\n",
    "            if clipPoly.intersects(countyGeom[c]):\n",
    "                toSquishCounties.append(c)\n",
    "                if clipPoly.contains(countyGeom[c]):\n",
    "                    toSquishUnits = toSquishUnits + countyTractList[c]\n",
    "                else:\n",
    "                    for t in countyTractList[c]:\n",
    "                        if clipPoly.contains(vtdCP[t]):\n",
    "                            toSquishUnits.append(t)\n",
    "        print(\"clipPoly\",clipNo,\"intersects\",toSquishCounties,\"counties and a total of\",len(toSquishUnits),\"units\")\n",
    "        toSquishGeomUnion = vtdGeom[toSquishUnits[0]]\n",
    "        toSquishGeoms = list()\n",
    "        for t in toSquishUnits:\n",
    "            toSquishGeomUnion = toSquishGeomUnion.union(vtdGeom[t])\n",
    "            toSquishGeoms.append(vtdGeom[t])\n",
    "        unclippedGeom = MAP.difference(toSquishGeomUnion)\n",
    "        altCutLine = toSquishGeomUnion.buffer(0.001).intersection(unclippedGeom)\n",
    "        print(\"Here is the original cutLine and an alternate based on cut shapes\")\n",
    "        #plotPoly(MAP,0.1)\n",
    "        plotPoly(cutLine.buffer(0.02))\n",
    "        plotPoly(altCutLine,0.1)\n",
    "        plt.show()\n",
    "        # could use altCutLine for a more accurate squish at the squish-no_squish boundary ...\n",
    "        #newShapes = squish(clippedGeomList, altCutLine, farLine, newFarLine)\n",
    "        squishedShapes = squish(toSquishGeoms, cutLine, farLine, newFarLine) #..but may distort results\n",
    "        toSquishUnitsList.append(toSquishUnits)\n",
    "        toSquishGeomsList.append(toSquishGeoms)\n",
    "        toSquishCountiesList.append(toSquishCounties)\n",
    "        squishedShapesList.append(squishedShapes)\n",
    "        for geo in toSquishGeoms:\n",
    "            plotPoly(geo,0.1)\n",
    "            plotPoly(geo.centroid.buffer(0.004),0.1)\n",
    "        for geo in squishedShapes:\n",
    "            plotPoly(geo)\n",
    "            plotPoly(geo.centroid.buffer(0.002),0.4)\n",
    "        print(\"These are your orig (faint) and squished shapes for clip no\",clipNo+1,\"out of\",nClips)\n",
    "        plt.show()\n",
    "        pause = input(\"enter 1 when ready\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "62667c48-6c66-4381-b01d-518af61651bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#now apply the squish to all impacted vtds.  \"tractGeom\" will retain original vtd shapes, so we can reset if needed\n",
    "for i, vList in enumerate(toSquishUnitsList):\n",
    "    squishedShapes = squishedShapesList[i]\n",
    "    for j, v in enumerate(vList):\n",
    "        vtdGeom[v] = squishedShapes[j]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7b967d22-41fb-454f-ae47-d72d712daa4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in range(nTracts):  #optional full state visualization after squish\n",
    "    if t not in allCutVTDs and t not in skipList:\n",
    "        plotPoly(vtdGeom[t])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9715564f-3b60-43e5-9f1f-02f3dcee3933",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = 22  #pick a county for visualization if desired\n",
    "print(\"here are the faint(original) and squished shapes for county\",c)\n",
    "for t in countyTractList[c]:\n",
    "    plotPoly(vtdGeom[t])\n",
    "    plotPoly(tractGeom[t],0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "760bc48e-0236-4ad7-b3b8-d74795009f53",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"alternate simple approach for Florida Keys - translate all toward county CP\")\n",
    "c = 43\n",
    "vtdGeom = tractGeom.copy()  #a reset\n",
    "nTranslated = 0\n",
    "newCP = Point(-81, 25.1)\n",
    "for v in countyTractList[c]:\n",
    "    if clipPoly.contains(tractCP[v]):\n",
    "        xDelta, yDelta = newCP.x - tractCP[v].x, newCP.y - tractCP[v].y\n",
    "        xOFF, yOFF = 0.95 * xDelta, 0.95 * yDelta\n",
    "        vtdGeom[v] = translate(vtdGeom[v],xoff= xOFF, yoff=yOFF)\n",
    "        nTranslated +=1\n",
    "print(\"I translated\",nTranslated,\"vtds toward the center of county\",c)\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]\n",
    "countyGeom[c] = vtdGeom[countyTractList[c][0]]\n",
    "for v in countyTractList[c]:\n",
    "    countyGeom[c] = countyGeom[c].union(vtdGeom[v])\n",
    "    plotPoly(hdCP[v].buffer(0.03))\n",
    "plotPoly(countyGeom[c])\n",
    "unsquishedMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "#plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4ef91f8f-dabb-4c58-a8a4-bba8e725e586",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on confirming HD center 0 is inside the map's convex hull\n",
      "working on confirming HD center 500 is inside the map's convex hull\n",
      "working on confirming HD center 1000 is inside the map's convex hull\n",
      "working on confirming HD center 1500 is inside the map's convex hull\n",
      "working on confirming HD center 2000 is inside the map's convex hull\n",
      "working on confirming HD center 2500 is inside the map's convex hull\n",
      "working on confirming HD center 3000 is inside the map's convex hull\n",
      "working on confirming HD center 3500 is inside the map's convex hull\n",
      "working on confirming HD center 4000 is inside the map's convex hull\n",
      "working on confirming HD center 4500 is inside the map's convex hull\n",
      "working on confirming HD center 5000 is inside the map's convex hull\n",
      "working on confirming HD center 5500 is inside the map's convex hull\n",
      "working on confirming HD center 6001 is inside the map's convex hull\n",
      "working on confirming HD center 6501 is inside the map's convex hull\n",
      "working on confirming HD center 7001 is inside the map's convex hull\n",
      "working on confirming HD center 7501 is inside the map's convex hull\n",
      "working on confirming HD center 8001 is inside the map's convex hull\n",
      "working on confirming HD center 8501 is inside the map's convex hull\n",
      "working on confirming HD center 9001 is inside the map's convex hull\n",
      "Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note the MAP convex hull.  Overwrite with your own polygon if desired.\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 - draw polygonal HDs.  #REQUIRES CONSISTENT TREATMENT OF CCB'S \n",
    "#For GA, MA, MD, MN, NC we draw HDs for ALL vtds, even if they are in a CCB.  We use the clipPoly's to squish in the corners for these HD shapes\n",
    "#Not sure if below would work if we have cut districts AND squished-in corners\n",
    "#We normally draw for each (squished or orig) vtd.  Or, read in tract or blockgroup geometries, use those pops and unit centerpoints\n",
    "\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]  #remember, this is after any squish operation\n",
    "print(\"Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\")\n",
    "useSquish = int(input(\"enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties\"))\n",
    "if useSquish == 1:\n",
    "    convexMAP = hdCP[countyTractList[uncutCountyList[0]][0]].buffer(0.1) \n",
    "    for v in range(nTracts):\n",
    "        if v not in skipList and v not in allCutVTDs:\n",
    "            convexMAP = convexMAP.union(hdCP[v].buffer(0.1))\n",
    "else:  #build the map via simple union of counties not wholly in fully cut-out districts\n",
    "    convexMAP = countyGeom[uncutCountyList[0]]\n",
    "    for c in uncutCountyList:\n",
    "        convexMAP = convexMAP.union(countyGeom[c])\n",
    "    #convexMAP = MAP.centroid\n",
    "    #for c in range(nCounties):\n",
    "    #    if c not in allFusedCounties:\n",
    "    #        convexMAP = convexMAP.union(countyGeom[c])\n",
    "MAPhull = convexMAP.convex_hull.buffer(0.01*convexMAP.area**0.5)\n",
    "plotPoly(MAPhull)\n",
    "popHDlist = list()\n",
    "for t in range(nTracts):\n",
    "    if t not in allCutVTDs and t not in skipList:  #keep low-pop tracts as VEST may have assigned voters to them\n",
    "        popHDlist.append(t)\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on confirming HD center\",t,\"is inside the map's convex hull\")\n",
    "    if hdCP[t].disjoint(convexMAP.convex_hull):\n",
    "        plotPoly(hdCP[t].buffer(0.03))\n",
    "        hdCP[t] = nearest_points(convexMAP.convex_hull,hdCP[t])[0]\n",
    "        plotCenter(\"m\",hdCP[t])\n",
    "    else:\n",
    "        plotPoly(hdCP[t].buffer(0.01))\n",
    "plotPoly(convexMAP)\n",
    "plotPoly(convexMAP.convex_hull)\n",
    "plotPoly(MAPhull)\n",
    "for c in allFusedCounties:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "print(\"Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Note the MAP convex hull.  Overwrite with your own polygon if desired.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "8393e96a-75c6-48ec-94e8-1f6fe58d31df",
   "metadata": {},
   "outputs": [],
   "source": [
    "nHDs = nTracts  #need to run this if we start option 2 from a vest list, not a previously run HD poly list\n",
    "HDcountyNo = countyNo.copy()\n",
    "populatedTractList = popHDlist.copy()  #nomenclature equivalency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "bcaf6ea2-1c3b-48c1-9ad6-937d7b7e4385",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\n",
      "working on tract-tract distances for unit 0 out of 9178 . Time = 0\n",
      "working on tract-tract distances for unit 400 out of 9178 . Time = 193\n",
      "working on tract-tract distances for unit 800 out of 9178 . Time = 376\n",
      "working on tract-tract distances for unit 1200 out of 9178 . Time = 546\n",
      "working on tract-tract distances for unit 1600 out of 9178 . Time = 704\n",
      "working on tract-tract distances for unit 2000 out of 9178 . Time = 848\n",
      "working on tract-tract distances for unit 2400 out of 9178 . Time = 965\n",
      "working on tract-tract distances for unit 2800 out of 9178 . Time = 1090\n",
      "working on tract-tract distances for unit 3200 out of 9178 . Time = 1189\n",
      "working on tract-tract distances for unit 3600 out of 9178 . Time = 1296\n",
      "working on tract-tract distances for unit 4000 out of 9178 . Time = 1390\n",
      "working on tract-tract distances for unit 4400 out of 9178 . Time = 1480\n",
      "working on tract-tract distances for unit 4800 out of 9178 . Time = 1563\n",
      "working on tract-tract distances for unit 5200 out of 9178 . Time = 1632\n",
      "working on tract-tract distances for unit 5600 out of 9178 . Time = 1689\n",
      "working on tract-tract distances for unit 6001 out of 9178 . Time = 1742\n",
      "working on tract-tract distances for unit 6401 out of 9178 . Time = 1797\n",
      "working on tract-tract distances for unit 6801 out of 9178 . Time = 1845\n",
      "working on tract-tract distances for unit 7201 out of 9178 . Time = 1885\n",
      "working on tract-tract distances for unit 7601 out of 9178 . Time = 1916\n",
      "working on tract-tract distances for unit 8001 out of 9178 . Time = 1943\n",
      "working on tract-tract distances for unit 8401 out of 9178 . Time = 1961\n",
      "working on tract-tract distances for unit 8801 out of 9178 . Time = 1972\n",
      "All done; total elapsed  1976 seconds for PA with 17 districts to map\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "our maxD was 3.7\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 ....... ##########  THIS IS FOR TRACT - TRACT, despite the \"unit\" nomenclature\n",
    "print(\"Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\")\n",
    "#NOTE: FOR LARGE STATES, RESTRICT THE SEARCH TO COUNTIES WITHIN A 3/SQRT(nDistrict) DIAMETER OF THE HOME UNIT\n",
    "uuDist = [[int(maxD+1) for t in range(nHDs)] for t in range(nHDs)] #default: too big to capture\n",
    "closeCountyList = [list() for c in range(nCounties)]\n",
    "closeCountyDist = maxD   #min(maxD,3./float(nDistricts)**0.5 * maxD )  #use above maxD for these counties as well\n",
    "xScaleSquared = xScale*xScale\n",
    "if nDistricts < 10: #closeCountyDist >= maxD:  #small state\n",
    "    closeCountyList = [[i for i in range(nCounties)] for c in range(nCounties)]  #all counties are close enough\n",
    "else:\n",
    "    for c in uncutCountyList:\n",
    "        closeCountyList[c].append(c)\n",
    "        for cc in range(c+1,nCounties):\n",
    "            if cc in uncutCountyList:\n",
    "                if cc in neighborCountyList[c]:\n",
    "                    closeCountyList[c].append(cc)\n",
    "                    closeCountyList[cc].append(c)\n",
    "                else:    \n",
    "                    dist = getLongDist(countyCP[c], countyCP[cc],xScale)\n",
    "                    if dist < closeCountyDist:\n",
    "                        closeCountyList[c].append(cc)\n",
    "                        closeCountyList[cc].append(c)\n",
    "startTime = time.time()\n",
    "\n",
    "for i,t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on tract-tract distances for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime))\n",
    "    uuDist[t][t] == 0.\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "                dist = getLongDist(hdCP[t], hdCP[tt],xScale)\n",
    "                uuDist[t][tt], uuDist[tt][t] = dist, dist\n",
    "print(\"All done; total elapsed \",int(time.time()-startTime),\"seconds for\",STATE,\"with\",nDistricts,\"districts to map\" )\n",
    "plt.hist(uuDist)\n",
    "plt.show()\n",
    "print(\"our maxD was\",maxD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "2f392acb-ba52-4343-80ae-a58ba0b57366",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "similar to above, but for angles\n",
      "working on unit-unit angles for unit 0 out of 9178 . Time = 0\n",
      "working on unit-unit angles for unit 400 out of 9178 . Time = 90\n",
      "working on unit-unit angles for unit 800 out of 9178 . Time = 177\n",
      "working on unit-unit angles for unit 1200 out of 9178 . Time = 256\n",
      "working on unit-unit angles for unit 1600 out of 9178 . Time = 331\n",
      "working on unit-unit angles for unit 2000 out of 9178 . Time = 401\n",
      "working on unit-unit angles for unit 2400 out of 9178 . Time = 460\n",
      "working on unit-unit angles for unit 2800 out of 9178 . Time = 526\n",
      "working on unit-unit angles for unit 3200 out of 9178 . Time = 577\n",
      "working on unit-unit angles for unit 3600 out of 9178 . Time = 633\n",
      "working on unit-unit angles for unit 4000 out of 9178 . Time = 682\n",
      "working on unit-unit angles for unit 4400 out of 9178 . Time = 728\n",
      "working on unit-unit angles for unit 4800 out of 9178 . Time = 772\n",
      "working on unit-unit angles for unit 5200 out of 9178 . Time = 807\n",
      "working on unit-unit angles for unit 5600 out of 9178 . Time = 835\n",
      "working on unit-unit angles for unit 6001 out of 9178 . Time = 862\n",
      "working on unit-unit angles for unit 6401 out of 9178 . Time = 889\n",
      "working on unit-unit angles for unit 6801 out of 9178 . Time = 916\n",
      "working on unit-unit angles for unit 7201 out of 9178 . Time = 936\n",
      "working on unit-unit angles for unit 7601 out of 9178 . Time = 953\n",
      "working on unit-unit angles for unit 8001 out of 9178 . Time = 966\n",
      "working on unit-unit angles for unit 8401 out of 9178 . Time = 975\n",
      "working on unit-unit angles for unit 8801 out of 9178 . Time = 981\n",
      "All done with angles; total elapsed seconds = 983\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 \n",
    "print(\"similar to above, but for angles\")  #convention is angle[a][b] is from a to b\n",
    "uuAngle = [[0. for t in range(nHDs)] for t in range(nHDs)]\n",
    "\n",
    "pi = 3.141592653\n",
    "twoPi = pi*2.\n",
    "startTime = time.time()\n",
    "for i, t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on unit-unit angles for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime)  )\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "            angLE = math.atan2(hdCP[tt].y - hdCP[t].y, xScale * (hdCP[tt].x - hdCP[t].x) )\n",
    "            uuAngle[t][tt], uuAngle[tt][t] = angLE % twoPi, (angLE + pi) % twoPi\n",
    "print(\"All done with angles; total elapsed seconds =\",int(time.time()-startTime) )\n",
    "#plt.hist(uuAngle)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "4cc54eba-ca37-4680-9699-37332133afb8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "764864.706 17 13002700.0 17.0 13002700.0\n",
      "13002700.0 13002700 1.0\n"
     ]
    }
   ],
   "source": [
    "print(r3(aDP), nDistricts, statePop, statePop/aDP, trueStatePop)\n",
    "HDweight = [0 for t in range(nHDs)]\n",
    "for t in populatedTractList:\n",
    "    HDweight[t] = tractPop[t] / trueStatePop #skipping the cutList tracts\n",
    "print(statePop,np.sum([tractPop[t] for t in populatedTractList]), r5(np.sum(HDweight))) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "dac2348a-060a-40a9-beeb-02ff70ec1aa1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\n"
     ]
    }
   ],
   "source": [
    "print(\"RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\")\n",
    "opt2nbrCtyList = [neighborCountyList[c].copy() for c in range(nCounties)]\n",
    "for i in range(nClips):\n",
    "    cList = toSquishCountiesList[i]\n",
    "    for c in cList:\n",
    "        for cc in cList:\n",
    "            for ccc in neighborCountyList[cc]:\n",
    "                if ccc not in opt2nbrCtyList[c] and ccc != c:\n",
    "                    opt2nbrCtyList[c].append(ccc)\n",
    "#for c in range(nCounties):\n",
    "#    for cc in opt2nbrCtyList[c]:\n",
    "#        plotPoly(countyGeom[cc])\n",
    "#    plotCenter(c,countyGeom[c])\n",
    "#    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "3873aaa2-0c39-4ac0-99c3-92dd7c18c555",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\n",
      "For each Home District, we will consider a wedge as one-from-full when it is within 1133.503 of targetWedgePop\n",
      "I am working on HD number 0 of 9178 HDs.  Elapsed sec = 0\n",
      "I am working on HD number 400 of 9178 HDs.  Elapsed sec = 79\n",
      "I am working on HD number 800 of 9178 HDs.  Elapsed sec = 141\n",
      "I am working on HD number 1200 of 9178 HDs.  Elapsed sec = 229\n",
      "I am working on HD number 1600 of 9178 HDs.  Elapsed sec = 312\n",
      "I am working on HD number 2000 of 9178 HDs.  Elapsed sec = 397\n",
      "I am working on HD number 2400 of 9178 HDs.  Elapsed sec = 472\n",
      "I am working on HD number 2800 of 9178 HDs.  Elapsed sec = 553\n",
      "I am working on HD number 3200 of 9178 HDs.  Elapsed sec = 624\n",
      "I am working on HD number 3600 of 9178 HDs.  Elapsed sec = 699\n",
      "I am working on HD number 4000 of 9178 HDs.  Elapsed sec = 768\n",
      "I am working on HD number 4400 of 9178 HDs.  Elapsed sec = 837\n",
      "I am working on HD number 4800 of 9178 HDs.  Elapsed sec = 916\n",
      "I am working on HD number 5200 of 9178 HDs.  Elapsed sec = 989\n",
      "I am working on HD number 5600 of 9178 HDs.  Elapsed sec = 1071\n",
      "I am working on HD number 6001 of 9178 HDs.  Elapsed sec = 1161\n",
      "I am working on HD number 6401 of 9178 HDs.  Elapsed sec = 1268\n",
      "I am working on HD number 6801 of 9178 HDs.  Elapsed sec = 1394\n",
      "I am working on HD number 7201 of 9178 HDs.  Elapsed sec = 1526\n",
      "I am working on HD number 7601 of 9178 HDs.  Elapsed sec = 1667\n",
      "I am working on HD number 8001 of 9178 HDs.  Elapsed sec = 1764\n",
      "I am working on HD number 8401 of 9178 HDs.  Elapsed sec = 1839\n",
      "I am working on HD number 8801 of 9178 HDs.  Elapsed sec = 1918\n",
      "1981.371 seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\n",
      "vtd avg and sd usage are 0.99986 0.10367\n"
     ]
    },
    {
     "data": {
      "image/png": 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AAAMQ6gAAAAxAqAMAADAAoQ4AAMAAlh8+DACIrHCfN8hz74D5hZU6AAAAAxDqAAAADMDlVwCIErzGDcClINQBBiAMAAC4/AoAAGAAQh0AAIABCHUAAAAGINQBAAAYgFAHAABgAEIdAACAAQh1AAAABiDUAQAAGIBQBwAAYABCHQAAgAEIdQAAAAYg1AEAABiAUAcAAGAAQh0AAIABCHUAAAAGINQBAAAYgFAHAABgAEIdAACAAQh1AAAABiDUAQAAGIBQBwAAYABCHQAAgAEIdQAAAAYg1AEAABggPtINAAgtq/pQpFsAAFxBWKkDAAAwAKEOAADAAIQ6AAAAAxDqAAAADECoAwAAMAChDgAAwACEOgAAAAMQ6gAAAAxAqAMAADAAoQ4AAMAAhDoAAAADEOoAAAAMQKgDAAAwAKEOAADAAIQ6AAAAAxDqAAAADECoAwAAMMCMQl1TU5OysrJks9nkcDh09OjRi9a3t7crJydHNptNubm5Onz4cND3d+7cqZycHC1YsEAf//jHVVxcrJdeemkmrQEAAMxLlkNdW1ubXC6X6urqNDAwoLy8PDmdTo2MjISs7+npUXl5uTZs2KDBwUGVlpaqtLRUx44dC9TcfPPNamxs1C9+8Qu9+OKLysrK0l133aXR0dGZnxkAAMA8EuP3+/1WBjgcDq1atUqNjY2SJJ/Pp8zMTG3atEnV1dXn1ZeVlcnr9ergwYOBfatXr1Z+fr6am5tD/oyJiQklJyfrJz/5ie68886P7Ols/fj4uJKSkqycDhC1sqoPRboFXOFO7C6JdAsALpGVjGNppW5qakr9/f0qLi4+d4DYWBUXF6u3tzfkmN7e3qB6SXI6nResn5qa0r59+5ScnKy8vDwr7QEAAMxb8VaKx8bGND09rbS0tKD9aWlpOn78eMgxbrc7ZL3b7Q7ad/DgQa1fv17vvvuuFi1apK6uLqWmpoY85uTkpCYnJwNfT0xMWDkNAAAA40TN3a933HGHhoaG1NPTo3Xr1un++++/4Of06uvrlZycHNgyMzPnuFsAAIDoYinUpaamKi4uTh6PJ2i/x+OR3W4POcZut4dVv2DBAt10001avXq19u/fr/j4eO3fvz/kMWtqajQ+Ph7YTp48aeU0AAAAjGMp1CUkJGjFihXq7u4O7PP5fOru7lZhYWHIMYWFhUH1ktTV1XXB+t897u9eYv1diYmJSkpKCtoAAADmM0ufqZMkl8ulyspKrVy5UgUFBWpoaJDX61VVVZUkqaKiQhkZGaqvr5ckbd68WUVFRdqzZ49KSkrU2tqqvr4+7du3T5Lk9Xr1d3/3d7rnnnu0aNEijY2NqampSadOndIXv/jFy3iqAAAA5rIc6srKyjQ6OqodO3bI7XYrPz9fnZ2dgZshhoeHFRt7bgFwzZo1amlpUW1trbZt26bs7Gx1dHRo+fLlkqS4uDgdP35czzzzjMbGxpSSkqJVq1bphRde0K233nqZThMAcDHhPkKHx6QA0cvyc+qiEc+pg4l4Th0ulZUARqgDotOsPacOAAAA0YlQBwAAYABCHQAAgAEIdQAAAAYg1AEAABiAUAcAAGAAQh0AAIABCHUAAAAGINQBAAAYgFAHAABgAEIdAACAAeIj3QAAYHbw/mBgfiHUAXOMX7QAgNnA5VcAAAADEOoAAAAMQKgDAAAwAKEOAADAANwoAQAIW7g3+pzYXTLLnQD4fazUAQAAGIBQBwAAYABCHQAAgAEIdQAAAAYg1AEAABiAUAcAAGAAQh0AAIABCHUAAAAGINQBAAAYgFAHAABgAEIdAACAAQh1AAAABiDUAQAAGIBQBwAAYABCHQAAgAEIdQAAAAYg1AEAABiAUAcAAGAAQh0AAIABCHUAAAAGINQBAAAYgFAHAABgAEIdAACAAQh1AAAABiDUAQAAGIBQBwAAYABCHQAAgAEIdQAAAAYg1AEAABiAUAcAAGAAQh0AAIABCHUAAAAGiI90A4ApsqoPRboFAMA8RqgDLoKgBgC4UnD5FQAAwACEOgAAAAPMKNQ1NTUpKytLNptNDodDR48evWh9e3u7cnJyZLPZlJubq8OHDwe+9/777+trX/uacnNztWDBAqWnp6uiokJvvvnmTFoDAACYlyyHura2NrlcLtXV1WlgYEB5eXlyOp0aGRkJWd/T06Py8nJt2LBBg4ODKi0tVWlpqY4dOyZJevfddzUwMKDt27drYGBABw4c0Kuvvqp77rnn0s4MAABgHonx+/1+KwMcDodWrVqlxsZGSZLP51NmZqY2bdqk6urq8+rLysrk9Xp18ODBwL7Vq1crPz9fzc3NIX/Gf/3Xf6mgoEC/+c1vtHjx4o/saWJiQsnJyRofH1dSUpKV0wEuihslgJk5sbsk0i0ARrCScSyt1E1NTam/v1/FxcXnDhAbq+LiYvX29oYc09vbG1QvSU6n84L1kjQ+Pq6YmBh97GMfC/n9yclJTUxMBG0AAADzmaVHmoyNjWl6elppaWlB+9PS0nT8+PGQY9xud8h6t9sdsv69997T1772NZWXl18wkdbX12vXrl1WWgcAzCErq9ys6gGXR1Td/fr+++/r/vvvl9/v13e+850L1tXU1Gh8fDywnTx5cg67BAAAiD6WVupSU1MVFxcnj8cTtN/j8chut4ccY7fbw6o/G+h+85vf6Kc//elFrxsnJiYqMTHRSusAAABGs7RSl5CQoBUrVqi7uzuwz+fzqbu7W4WFhSHHFBYWBtVLUldXV1D92UD3q1/9Sj/5yU+UkpJipS0AAIB5z/JrwlwulyorK7Vy5UoVFBSooaFBXq9XVVVVkqSKigplZGSovr5ekrR582YVFRVpz549KikpUWtrq/r6+rRv3z5JHwa6P/mTP9HAwIAOHjyo6enpwOftrrvuOiUkJFyucwUAADCW5VBXVlam0dFR7dixQ263W/n5+ers7AzcDDE8PKzY2HMLgGvWrFFLS4tqa2u1bds2ZWdnq6OjQ8uXL5cknTp1Sj/60Y8kSfn5+UE/62c/+5k+85nPzPDUAAAA5g/Lz6mLRjynDrOF59QBs4+7X4ELm7Xn1AEAACA6EeoAAAAMQKgDAAAwAKEOAADAAIQ6AAAAAxDqAAAADECoAwAAMAChDgAAwACEOgAAAAMQ6gAAAAxAqAMAADBAfKQbAADMb+G+Y5l3xAIXR6jDvBTuLxEAAK4UXH4FAAAwAKEOAADAAIQ6AAAAAxDqAAAADECoAwAAMAChDgAAwACEOgAAAAMQ6gAAAAxAqAMAADAAoQ4AAMAAhDoAAAADEOoAAAAMQKgDAAAwAKEOAADAAPGRbgAAgHBkVR8Kq+7E7pJZ7gSITqzUAQAAGIBQBwAAYABCHQAAgAEIdQAAAAYg1AEAABiAUAcAAGAAQh0AAIABCHUAAAAGINQBAAAYgFAHAABgAEIdAACAAQh1AAAABiDUAQAAGIBQBwAAYABCHQAAgAEIdQAAAAYg1AEAABggPtINAABwOWVVHwq79sTuklnsBJhbhDoYxcpf5gAAmITLrwAAAAZgpQ5Rj9U3AAA+Git1AAAABiDUAQAAGIBQBwAAYABCHQAAgAEIdQAAAAaYUahrampSVlaWbDabHA6Hjh49etH69vZ25eTkyGazKTc3V4cPHw76/oEDB3TXXXcpJSVFMTExGhoamklbAAAA85blUNfW1iaXy6W6ujoNDAwoLy9PTqdTIyMjIet7enpUXl6uDRs2aHBwUKWlpSotLdWxY8cCNV6vV2vXrtUTTzwx8zMBAACYx2L8fr/fygCHw6FVq1apsbFRkuTz+ZSZmalNmzapurr6vPqysjJ5vV4dPHgwsG/16tXKz89Xc3NzUO2JEye0ZMkSDQ4OKj8/P+yeJiYmlJycrPHxcSUlJVk5HUQQz58DEGm8JgzRzkrGsbRSNzU1pf7+fhUXF587QGysiouL1dvbG3JMb29vUL0kOZ3OC9aHY3JyUhMTE0EbAADAfGYp1I2NjWl6elppaWlB+9PS0uR2u0OOcbvdlurDUV9fr+Tk5MCWmZk542MBAACY4Iq8+7Wmpkbj4+OB7eTJk5FuCQAAIKIsvfs1NTVVcXFx8ng8Qfs9Ho/sdnvIMXa73VJ9OBITE5WYmDjj8QAASOF/tpfP3uFKYGmlLiEhQStWrFB3d3dgn8/nU3d3twoLC0OOKSwsDKqXpK6urgvWAwAAwDpLK3WS5HK5VFlZqZUrV6qgoEANDQ3yer2qqqqSJFVUVCgjI0P19fWSpM2bN6uoqEh79uxRSUmJWltb1dfXp3379gWO+dvf/lbDw8N68803JUmvvvqqpA9X+S5lRQ8AAGC+sBzqysrKNDo6qh07dsjtdis/P1+dnZ2BmyGGh4cVG3tuAXDNmjVqaWlRbW2ttm3bpuzsbHV0dGj58uWBmh/96EeBUChJ69evlyTV1dVp586dMz03AACAecPyc+qiEc+puzLxnDoAVwo+U4dImbXn1AEAACA6EeoAAAAMQKgDAAAwAKEOAADAAIQ6AAAAAxDqAAAADECoAwAAMAChDgAAwACW3ygBfBQeKgwAwNwj1AEA8BHC/ccqb55AJHH5FQAAwACEOgAAAAMQ6gAAAAxAqAMAADAAoQ4AAMAAhDoAAAADEOoAAAAMQKgDAAAwAKEOAADAAIQ6AAAAA/CaMISF97kCABDdWKkDAAAwAKEOAADAAIQ6AAAAAxDqAAAADMCNEgAAXCZWbio7sbtkFjvBfMRKHQAAgAEIdQAAAAYg1AEAABiAUAcAAGAAQh0AAIABuPt1nuP1XwAAmIGVOgAAAAOwUgcAQASEe6WE59khXIQ6AAAMwIOPweVXAAAAA7BSBwBAFOOGNoSLUHcFYWkdAABcCKHOUPzLDgCA+YXP1AEAABiAUAcAAGAAQh0AAIABCHUAAAAGINQBAAAYgFAHAABgAB5pEgV4/AgAALhUrNQBAAAYgFAHAABgAC6/ziIuqwIAgLlCqAMAACGFuzjB+8ajA5dfAQAADECoAwAAMACXXwEAmGf4zLeZCHUAAGBeMP0zgjMKdU1NTfrHf/xHud1u5eXl6amnnlJBQcEF69vb27V9+3adOHFC2dnZeuKJJ/T5z38+8H2/36+6ujr98z//s9555x3dfvvt+s53vqPs7OyZtAcAADBjVlYyoykAWg51bW1tcrlcam5ulsPhUENDg5xOp1599VUtXLjwvPqenh6Vl5ervr5ef/RHf6SWlhaVlpZqYGBAy5cvlyT9wz/8g771rW/pmWee0ZIlS7R9+3Y5nU798pe/lM1mu/SzvIxYsgYAINhs/G6MprB0pYjx+/1+KwMcDodWrVqlxsZGSZLP51NmZqY2bdqk6urq8+rLysrk9Xp18ODBwL7Vq1crPz9fzc3N8vv9Sk9P11e/+lX99V//tSRpfHxcaWlpevrpp7V+/fqP7GliYkLJyckaHx9XUlKSldOxjFAHAMDssxLqIvm7ebbDp5WMY2mlbmpqSv39/aqpqQnsi42NVXFxsXp7e0OO6e3tlcvlCtrndDrV0dEhSXrjjTfkdrtVXFwc+H5ycrIcDod6e3tDhrrJyUlNTk4Gvh4fH5f04YnPNt/ku7P+MwAAmO8WP9Ye6RbCMtvZ4+zxw1mDsxTqxsbGND09rbS0tKD9aWlpOn78eMgxbrc7ZL3b7Q58/+y+C9X8vvr6eu3ateu8/ZmZmeGdCAAAwGWQ3DA3P+f06dNKTk6+aM0VefdrTU1N0Oqfz+fTb3/7W6WkpCgmJiaCnX2YqDMzM3Xy5MlZvxR8pWOuwsM8hY+5Ch9zFR7mKXzMVXiszpPf79fp06eVnp7+kbWWQl1qaqri4uLk8XiC9ns8Htnt9pBj7Hb7RevP/q/H49GiRYuCavLz80MeMzExUYmJiUH7Pvaxj1k5lVmXlJTEf9RhYq7CwzyFj7kKH3MVHuYpfMxVeKzM00et0J1l6Y0SCQkJWrFihbq7uwP7fD6furu7VVhYGHJMYWFhUL0kdXV1BeqXLFkiu90eVDMxMaGXXnrpgscEAABAMMuXX10ulyorK7Vy5UoVFBSooaFBXq9XVVVVkqSKigplZGSovr5ekrR582YVFRVpz549KikpUWtrq/r6+rRv3z5JUkxMjB599FH97d/+rbKzswOPNElPT1dpaenlO1MAAACDWQ51ZWVlGh0d1Y4dO+R2u5Wfn6/Ozs7AjQ7Dw8OKjT23ALhmzRq1tLSotrZW27ZtU3Z2tjo6OgLPqJOkrVu3yuv16i/+4i/0zjvvaO3aters7Iy6Z9SFIzExUXV1deddHsb5mKvwME/hY67Cx1yFh3kKH3MVntmcJ8vPqQMAAED0sfSZOgAAAEQnQh0AAIABCHUAAAAGINQBAAAYgFA3A01NTcrKypLNZpPD4dDRo0cvWPuZz3xGMTEx520lJbP7AuBoYWWuJKmhoUFLly7V1VdfrczMTD322GN677335qjbyLEyT++//76+/vWv68Ybb5TNZlNeXp46OzvnsNvIeP7553X33XcrPT1dMTExgfdHX8yRI0d02223KTExUTfddJOefvrpWe8zGlidq7feeksPPPCAbr75ZsXGxurRRx+dkz6jgdW5OnDggD73uc/p+uuvV1JSkgoLC/XjH/94bpqNIKvz9OKLL+r2229XSkqKrr76auXk5Oib3/zm3DQbYTP5u+qs//zP/1R8fPwFX77wUQh1FrW1tcnlcqmurk4DAwPKy8uT0+nUyMhIyPoDBw7orbfeCmzHjh1TXFycvvjFL85x53PP6ly1tLSourpadXV1euWVV7R//361tbVp27Ztc9z53LI6T7W1tfqnf/onPfXUU/rlL3+pjRs36t5779Xg4OAcdz63vF6v8vLy1NTUFFb9G2+8oZKSEt1xxx0aGhrSo48+qoceemhe/AK2OleTk5O6/vrrVVtbq7y8vFnuLrpYnavnn39en/vc53T48GH19/frjjvu0N13382fv9+zYMECPfzww3r++ef1yiuvqLa2VrW1tYFn1JrM6lyd9c4776iiokJ33nnnzH+4H5YUFBT4v/KVrwS+np6e9qenp/vr6+vDGv/Nb37Tf+211/rPnDkzWy1GDatz9ZWvfMX/2c9+Nmify+Xy33777bPaZ6RZnadFixb5Gxsbg/bdd999/j/90z+d1T6jiST/D3/4w4vWbN261X/rrbcG7SsrK/M7nc5Z7Cz6hDNXv6uoqMi/efPmWesnmlmdq7OWLVvm37Vr1+VvKErNdJ7uvfde/5e+9KXL31AUszJXZWVl/traWn9dXZ0/Ly9vRj+PlToLpqam1N/fr+Li4sC+2NhYFRcXq7e3N6xj7N+/X+vXr9eCBQtmq82oMJO5WrNmjfr7+wOXHn/961/r8OHD+vznPz8nPUfCTOZpcnLyvAdzX3311XrxxRdntdcrTW9vb9C8SpLT6Qz7zyoQDp/Pp9OnT+u6666LdCtRbXBwUD09PSoqKop0K1Hpe9/7nn7961+rrq7uko5j+Y0S89nY2Jimp6cDb884Ky0tTcePH//I8UePHtWxY8e0f//+2Woxasxkrh544AGNjY1p7dq18vv9+uCDD7Rx40ajL7/OZJ6cTqeefPJJffrTn9aNN96o7u5uHThwQNPT03PR8hXD7XaHnNeJiQn93//9n66++uoIdQaTfOMb39CZM2d0//33R7qVqPSJT3xCo6Oj+uCDD7Rz50499NBDkW4p6vzqV79SdXW1XnjhBcXHX1osY6VuDu3fv1+5ubkqKCiIdCtR6ciRI/r7v/97ffvb39bAwIAOHDigQ4cO6fHHH490a1Fl7969ys7OVk5OjhISEvTwww+rqqoq6PV8AGZfS0uLdu3ape9///tauHBhpNuJSi+88IL6+vrU3NyshoYGPfvss5FuKapMT0/rgQce0K5du3TzzTdf8vFYqbMgNTVVcXFx8ng8Qfs9Ho/sdvtFx3q9XrW2turrX//6bLYYNWYyV9u3b9eDDz4Y+Jdcbm5u4J3Af/M3f2NkaJnJPF1//fXq6OjQe++9p7ffflvp6emqrq7WDTfcMBctXzHsdnvIeU1KSmKVDpestbVVDz30kNrb28+7zI9zlixZIunDv889Ho927typ8vLyCHcVPU6fPq2+vj4NDg7q4YcflvThJX2/36/4+Hg999xz+uxnPxv28cz7LTmLEhIStGLFCnV3dwf2+Xw+dXd3q7Cw8KJj29vbNTk5qS996Uuz3WZUmMlcvfvuu+cFt7i4OEmS39BXFF/Kf1M2m00ZGRn64IMP9IMf/EBf+MIXZrvdK0phYWHQvEpSV1fXR84r8FGeffZZVVVV6dlnn503j6e6HHw+nyYnJyPdRlRJSkrSL37xCw0NDQW2jRs3aunSpRoaGpLD4bB0PFbqLHK5XKqsrNTKlStVUFCghoYGeb1eVVVVSZIqKiqUkZGh+vr6oHH79+9XaWmpUlJSItF2RFidq7vvvltPPvmkPvWpT8nhcOi1117T9u3bdffddwfCnYmsztNLL72kU6dOKT8/X6dOndLOnTvl8/m0devWSJ7GrDtz5oxee+21wNdvvPGGhoaGdN1112nx4sWqqanRqVOn9C//8i+SpI0bN6qxsVFbt27Vn//5n+unP/2pvv/97+vQoUOROoU5Y3WuJGloaCgwdnR0VENDQ0pISNCyZcvmuv05ZXWuWlpaVFlZqb1798rhcMjtdkv68Gal5OTkiJzDXLA6T01NTVq8eLFycnIkffgomG984xt65JFHItL/XLIyV7GxsVq+fHnQ+IULF8pms523Pywzumd2nnvqqaf8ixcv9ickJPgLCgr8P//5zwPfKyoq8ldWVgbVHz9+3C/J/9xzz81xp5FnZa7ef/99/86dO/033nij32az+TMzM/1/9Vd/5f/f//3fuW98jlmZpyNHjvhvueUWf2Jioj8lJcX/4IMP+k+dOhWBrufWz372M7+k87azc1NZWekvKio6b0x+fr4/ISHBf8MNN/i/973vzXnfkTCTuQpV/8lPfnLOe59rVueqqKjoovWmsjpP3/rWt/y33nqr/5prrvEnJSX5P/WpT/m//e1v+6enpyNzAnNoJn/+ftelPNIkxu839LoWAADAPMJn6gAAAAxAqAMAADAAoQ4AAMAAhDoAAAADEOoAAAAMQKgDAAAwAKEOAADAAIQ6AAAAAxDqAAAADECoAwAAMAChDgAAwACEOgAAAAP8P0hB44ST5f6/AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 .......\n",
    "# BELOW modified Dec23 to use inter-unit distances and angles, (counties still wedgeIntersxn) otherwise similar to HD2\n",
    "# --THIS ESSENTIALLY TAKES THE ORIGINAL TRACT-BASED HD centerpoints, and redraws HD2 districts after convexifying corners and convex_hull\n",
    "print(\"Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\") \n",
    "#this is a hybrid of HD2 and the organic code, in that all wedge tracts must be in a chain of neighboring counties\n",
    "#General sequence: draw 4 equi-angle wedges with random starting orientation.  If not all can fill a quarter aDP ...\n",
    "# ... find the closest map boundary point to the tract center point in the shortest wedge.  Orient the 0th wedge to face this point\n",
    "# ... determine the \"maxWedgePop\" for this short wedge and the other three wedges extended past the boundary\n",
    "# ...  if this results in only one short wedge, or opposing short wedges, adjust wedge angles\n",
    "# Regardless of whether we re-oriented or adjusted angles, compute each wedgePop for infinite radius\n",
    "#   ... then adjust other targetWedgePops if some found to be short.\n",
    "#   ... for non-shorted wedges, use bisection method to adjust radius to meet targetWedgePop\n",
    "#   ... once total HDpop within tolerance, add/subtract a tract fraction to fulfill HDpop\n",
    "#  create a list of fully used tracts per HD, save the tract# of the split tract and its fractional use\n",
    "#  Compute tractUse across all HDs at the end from the tractUsageLists.  Defer patching and partisan calcs to another code\n",
    "\n",
    "pi=3.1415926536\n",
    "#MAPhull = MAP.convex_hull #used for exitAngle calc.  Defined in an above block to allow user modification\n",
    "nWedges = 4  #number of wedges per home district polygon  \n",
    "avgWedgeAngle = 2.*pi / nWedges\n",
    "angle, angle2, wedgePoly = [0.]*nWedges, [0.]*nWedges, [dummyPoly]*nWedges  #start and stop angle of each wedge\n",
    "pt1, pt2, pt3 = [Point(0,0)]*nWedges, [Point(0,0)]*nWedges, [Point(0,0)]*nWedges #these four define the polygon wedge for a growing home district\n",
    "tractUse = [0.] * nHDs  #this will store how much we use this tract in ALL HD's vs. expectation\n",
    "HDtractList = [list()]*nHDs\n",
    "splitTractNo = [-999]*nHDs  #the tract that is only partially used to finish each HD\n",
    "splitTractUse = [0.]*nHDs  #and this is what fraction of the split tract is included\n",
    "HDvPop = [0.]*nHDs\n",
    "#HDweight = [tractPop[t] / (statePop - excludedPop) for t in range(nTracts)]  #relative weight of each drawn HD\n",
    "HDPoly1 = [dummyPoly]*nHDs  #final 4-wedge shape, unionized from blockgroups / tracts\n",
    "HDarea = [0.]*nHDs  #geographical area of each home district (after boundary trim)\n",
    "HDradius = [[0.]*nWedges for t in range(nHDs)] #final wedge length for each Home District wedge\n",
    "HDangle = [[0.]*nWedges for t in range(nHDs)] #final starting angle for each HD wedge\n",
    "angle0 = [-999.] * nHDs  #orientation of 0th wedge.  Random except re-oriented if we are near-boundary\n",
    "avgTractPop = statePop/len(populatedTractList)\n",
    "tolerPops = [0.8 * avgTractPop, 0.5 * np.max(tractPop)]  #threshold gap before adding one more unit to a wedge \n",
    "tolerPop = tolerPops[0]\n",
    "print(\"For each Home District, we will consider a wedge as one-from-full when it is within\",r3(tolerPops[0]),\"of targetWedgePop\")\n",
    "tractPrintInterval = 400  #for tracking progress\n",
    "levelL = 0.36 #sqrt(pop) for angle=std  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "maxAngleRatio = 1.9  #for tightening tract weighting near boundaries  #HD2\n",
    "maxAngle = 1.8*pi/2. # limit to avoid wedges too close to half a pie\n",
    "minAdjRatio = 0.5  #min ratio of pop of adjacent wedge (to min wedge) to targetWedgePop to not consider this a corner HD\n",
    "maxUncap = 0.5 #the max ratio of uncaptured pop in a maxWedge vs. target wedge pop that we will not stretch to include (7/23)\n",
    "oppWt = 0.0    #the fraction of gap between normal targetWedgePop and the minWedgePop that we allow the opposite wedge to add to tgtPop = minWedgePop\n",
    "maxWedgePop = [0.] * nWedges  #wedge pop if we explode wedge to maximum radius\n",
    "printDebug = \"no\"\n",
    "codeStartTime = time.time()\n",
    "hdCPpop = [HDweight[t] * statePop for t in range(nHDs)]\n",
    "countyHDlist = [list() for c in range(nCounties)]\n",
    "for t in populatedTractList:\n",
    "    countyHDlist[HDcountyNo[t]].append(t)\n",
    "\n",
    "for kkkj, t in enumerate(populatedTractList):  #range(nTracts) : #loop on each tract. \n",
    "    hC = HDcountyNo[t]     #this tract's home county\n",
    "    HDtractList[t] = [t] #seed the list of tracts in this HD\n",
    "    wedgeList = [list() for w in range(nWedges)]   #list of each wedge's tracts, excluding home tract\n",
    "    barredList = list()  #list of wedge numbers for which we are barred from altering their targetWedgePops\n",
    "    if (kkkj % tractPrintInterval) == 0 : \n",
    "        print(\"I am working on HD number {0} of {1} HDs.  Elapsed sec = {2}\".format(t,nHDs,int(time.time()-codeStartTime) ) )  \n",
    "    nActiveWedges = nWedges #active wedges have not run over boundary\n",
    "    wedgePop = [0.]*nWedges\n",
    "    targetWedgePop = [aDP / nWedges]*nWedges  #at beginning, split districtPop equally among wedges\n",
    "    \n",
    "    angle0[t] = random.uniform(0,2.*pi)  #imparts random orientation to the midangle of our starting wedge\n",
    "    wedgeAngle = [avgWedgeAngle for w in range(nWedges) ] #reset to equi-angle when starting each tract\n",
    "    for nW in range(nWedges-1):\n",
    "        wedgeAngle[nW] += random.uniform(-0.0001,0.0001)  #this wiggle solves a later indexing ambiguity for corner tracts\n",
    "    wedgeAngle[nWedges-1] = 2.*pi - (np.sum(wedgeAngle) - wedgeAngle[nWedges-1] ) #squaring up to 2pi total\n",
    "    startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "    for nW in range(1,nWedges):\n",
    "        startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "    endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "    #  TRIAL LOOP TO SEE WHICH WEDGES CAN FILL TO TARGET POP w/equiangle wedges\n",
    "    maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]    \n",
    "    maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "    willFill = [0] * nWedges #would this wedge meet its target with infinite radius?\n",
    "    for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "        iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "        #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList) \n",
    "        nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "        maxWedgePop[nW] += (iCP + nonCP)\n",
    "        wedgeList[nW] = Li + Ln\n",
    "        if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "            willFill[nW] = 1\n",
    "     \n",
    "    if np.sum(willFill) < nWedges:  #at least one wedge couldn't reach its wedgePop target (went over boundary) ...\n",
    "        minW = maxWedgePop.index(np.min(maxWedgePop)) #.. so we will orient the 0th wedge to face the shortest wedgePop's closest boundary\n",
    "        exitAngle = getExitAngle(hdCP[t],maxWedgePoly[minW], MAPhull, startAngle[minW], endAngle[minW])\n",
    "        angle0[t] = exitAngle - 0.5*(2.*pi / nWedges)  #Now reset all angles based on new starting orientation.  All wedge angles still equal\n",
    "        startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "        for nW in range(1,nWedges):\n",
    "            startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "        endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "        maxWedgePoly = [buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]\n",
    "        \n",
    "        willFill = [0]*nWedges\n",
    "        #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation (wedge angles still constant)\n",
    "        maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop        \n",
    "        for nW in range(nWedges):   #... then add in-county and nonCounty wedge Pop from contiguous chain of counties\n",
    "            iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "            #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "            nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                    opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "            maxWedgePop[nW] += (iCP + nonCP)\n",
    "            wedgeList[nW] = Li + Ln\n",
    "            if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                willFill[nW] = 1       \n",
    "    \n",
    "    if np.sum(willFill) < nWedges:  #check if we need to modify wedge angles after possible re-orientation.  \n",
    "        # If so, re-draw maxWedgePoly's, re-calc maxWedgePops\n",
    "        nUnfilledWedges = nWedges - np.sum(willFill)\n",
    "        isChange, newInclA = getNewAngles(maxWedgePop, targetWedgePop, aDP, levelL, minAdjRatio, maxAngle, maxAngleRatio, nUnfilledWedges )\n",
    "        if isChange: #no longer equi-angle\n",
    "            newStartAngle = [0.5*(startAngle[nW]+endAngle[nW]) - 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            newEndAngle =   [0.5*(startAngle[nW]+endAngle[nW]) + 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            startAngle, endAngle, wedgeAngle = newStartAngle.copy(), newEndAngle.copy(), newInclA.copy()\n",
    "            maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], \n",
    "                                        maxD/math.cos(0.5*wedgeAngle[nW]), xScale ) for nW in range(nWedges) ]\n",
    "            willFill = [0]*nWedges\n",
    "            #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation and new wedge angles\n",
    "            maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "            for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "                iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])                \n",
    "                #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "                nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                        opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "                maxWedgePop[nW] += (iCP + nonCP)\n",
    "                wedgeList[nW] = Li + Ln\n",
    "            minW = wedgeAngle.index(np.max(wedgeAngle)) #should be 0th wedge, but playing it safe.  This is the 1st wide-angle wedge ..\n",
    "            oppW = int(int(minW+nWedges/2)%nWedges)   #and its opposite\n",
    "            if maxWedgePop[minW] > maxWedgePop[oppW] and maxWedgePop[oppW] < aDP / nWedges:  #minW and oppW are flipped after inclA adjmt\n",
    "                oppW = minW\n",
    "                minW = int(int(minW+nWedges/2)%nWedges)\n",
    "            if maxWedgePop[minW] < targetWedgePop[oppW]:  #we need to constrain oppW in this HD2 implementation; redistribute tgt to adjacents\n",
    "                maxNonOppW = np.sum(maxWedgePop) - maxWedgePop[oppW] #...but only if other wedges can pick up slack; need to check\n",
    "                minOppWedgePop = aDP - maxNonOppW  #cannot set oppW target below this or we won't reach aDP across all wedges\n",
    "                barredList = [oppW]\n",
    "                targetWedgePop[oppW] = max(minOppWedgePop, maxWedgePop[minW] + oppWt * (targetWedgePop[oppW] - maxWedgePop[minW]) )\n",
    "                tWPgap = aDP / float(nWedges) - targetWedgePop[oppW] \n",
    "                for nW in range(nWedges):\n",
    "                    if nW != minW and nW != oppW:\n",
    "                        targetWedgePop[nW] += tWPgap/float(nWedges - 2.)  #if oppW target is limited, allot to adjacent wedges\n",
    "            for nW in range(nWedges):\n",
    "                if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                    willFill[nW] = 1  \n",
    "    \n",
    "    if abs(np.sum(targetWedgePop) / aDP - 1.) > 0.001:\n",
    "        raise Exception(\"FAIL! Our target wedgepops\",targetWedgePop, np.sum(targetWedgePop),\"no longer add up to\",aDP)\n",
    "    \n",
    "    if np.sum(willFill) == nWedges:  #all wedges will fill.  Will any leave a small near-boundary remnant?  If so, pick up smallest remnant\n",
    "        remnantWedgePopFrac = [ ( maxWedgePop[w] - targetWedgePop[w] )/targetWedgePop[w] for w in range(nWedges) ]\n",
    "        if np.min(remnantWedgePopFrac) < maxUncap :  #lessen tWP's of *adjacent* wedges, then increase this wedge's target --> max\n",
    "            minW = remnantWedgePopFrac.index(np.min(remnantWedgePopFrac))\n",
    "            oppW = int((minW+nWedges/2)%nWedges)\n",
    "            #print(\"filling to boundary for tract,wedge, tWP, mWP =\",t,minW, r3(targetWedgePop[minW]), maxWedgePop[minW])\n",
    "            for nW in range(nWedges):\n",
    "                if nW != minW and nW != oppW:\n",
    "                    targetWedgePop[nW] -= (remnantWedgePopFrac[minW] * targetWedgePop[minW] ) / (nWedges - 2.)\n",
    "            targetWedgePop[minW] = maxWedgePop[minW]\n",
    "            #       OK, READY TO SOLVE FOR NON-FILLED WEDGE SIZES once we adjust targets for unfilled wedges\n",
    "    #print(t,\" prior to rebalanceTWP call, mWPs, tWPs are\",maxWedgePop, targetWedgePop)\n",
    "    targetWedgePop, willFill = rebalanceTWPs(maxWedgePop, targetWedgePop, barredList)\n",
    "    #if np.max(targetWedgePop) - np.min(targetWedgePop) > 0.02 * aDP: #debug\n",
    "    #    print(\"for tract\",t,\",  After rebalancing but before tweaks for blocky pop adds: willFill, targetWedgePops and maxWedgePops are ...\")\n",
    "    #    for w in range(nWedges):\n",
    "    #        print(w, willFill[w],r3(targetWedgePop[w]),int(maxWedgePop[w]) )\n",
    "    for w in range(nWedges):  #WHEW!  WE CAN FINALLY ASSIGN ALL WEDGES' POPS AND TRACTLISTS\n",
    "        loop = 0\n",
    "        if willFill[w] == 0:  #wedge is maxed out\n",
    "            wedgePop[w] = maxWedgePop[w]\n",
    "            #wedgeList[w] = ...  #we already captured this list = maxWedge list\n",
    "            HDradius[t][w] = maxD/math.cos(0.5*wedgeAngle[w])\n",
    "        else:  #need to solve for wedge radius to meet targetPop.  Use bisection as scipy minimize no faster\n",
    "            HDcpWP = hdCPpop[t] * wedgeAngle[w]/(2.*pi)\n",
    "            nonHDcpTWP = targetWedgePop[w] - HDcpWP\n",
    "            #wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeB(nontractTWP,t,hC,maxWedgePoly[w],tolerPop,tractCP, tractPop,\n",
    "            #                                                        countyNo,countyTractList,countyGeom, neighborCountyList,uuDist[t])\n",
    "            wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeC(nonHDcpTWP,t,hC, maxWedgePoly[w],startAngle[w], endAngle[w], tolerPop,\n",
    "                                                                    hdCP, hdCPpop,HDcountyNo, countyHDlist,countyGeom,\n",
    "                                                                    opt2nbrCtyList,uuDist[t],uuAngle[t])\n",
    "            popGap = nonHDcpTWP - wedgePop[w]  #gap between target and solved wedge pop; can be negative\n",
    "            notYetAdjusted, nextW = True, w+1  #looking to adjust a later wedge's target pop to minimize drift in total HD pop\n",
    "            while notYetAdjusted and nextW < nWedges:\n",
    "                if willFill[nextW] == 1 and maxWedgePop[nextW] > targetWedgePop[nextW] + popGap :  #can accommodate\n",
    "                    targetWedgePop[nextW] += popGap\n",
    "                    notYetAdjusted = False\n",
    "                nextW +=1          \n",
    "\n",
    "        HDangle[t][w] = startAngle[w]\n",
    "    #print(t,\"tract. After TWP adjustment, targetWedgePops are\",targetWedgePop)\n",
    "    HDtractList[t] = [t]\n",
    "    totPop = hdCPpop[t]\n",
    "    for nW in range(nWedges):\n",
    "        for tt in wedgeList[nW]:\n",
    "            HDtractList[t].append(tt)  #building the list of tracts in the Home District  (we'll keep up with below changes)\n",
    "            totPop += hdCPpop[tt]\n",
    "    offsetPop = totPop - aDP  #we have solved for all wedge radii to get each within one tractPop of target ... \n",
    "    HDvPop[t] = totPop\n",
    "    #if offsetPop > 0:   #... now include a splitPoly to nail the avg District Pop\n",
    "    #    isOver = True  #we slightly overshot.  ID the farthest-away tract for split-jettison\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], hdCPpop, neighborList)\n",
    "    #    HDvPop[t] = totPop - (1. - splitTractUse[t]) * tractPop[splitTractNo[t]]\n",
    "    #if offsetPop < 0:\n",
    "    #    isOver = False  #we have undershot.  Pick up the nearest contiguous tract that can be split to fill the gap\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], tractPop, neighborList)\n",
    "    #    HDtractList[t].append(splitTractNo[t])\n",
    "    #    HDvPop[t] = totPop + splitTractUse[t]*tractPop[splitTractNo[t]]       \n",
    "    #if abs(1. - HDvPop[t]/aDP) > 0.005 :  #something went wrong with pop assignation for this HD\n",
    "    #    print(\"WARNING! Total Home District pop was\",HDvPop[t],\"vs target\",aDP,\"for tract\",t)   ##### hdCP topology not yet known; skip partial\n",
    "        \n",
    "    HDPoly1[t] = dummyPoly  #tractGeom[t] #skip constructing the HD poly shape.  Do compute area of the Home District, including final partial\n",
    "    HDarea[t] = 0.\n",
    "    for tt in HDtractList[t]:\n",
    "        if tt == splitTractNo[t]:\n",
    "            tractUse[tt] += nDistricts * HDweight[t] * splitTractUse[t] \n",
    "            #HDarea[t]   += tractArea[tt] * splitTractUse[t]  #these are original (nonsquished) areas\n",
    "            \n",
    "        else:\n",
    "            tractUse[tt] += nDistricts * HDweight[t]\n",
    "            #HDarea[t]    += tractArea[tt]\n",
    "            #HDPoly1[t] = HDPoly1[t].union(tractGeom[tt])\n",
    "    HDPoly1[t] = buildPoly(hdCP[t],HDradius[t], HDangle[t] )\n",
    "    #HDarea[t] = HDPoly1[t].area + splitTractUse[t] * tractArea[splitTractNo[t]]  \n",
    "    #if splitTractUse[t] > 0.5:\n",
    "    #    HDPoly1[t] = HDPoly1[t].union(tractGeom[splitTractNo[t]])\n",
    "                          \n",
    "    #ALL DONE ESTABLISHING THE FINAL HDTRACTLIST.  FINALIZE STATS\n",
    "totalTime = time.time() - codeStartTime\n",
    "print(r3(totalTime),\"seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\")\n",
    "n_bins=50\n",
    "popTractUse, plotWts = [tractUse[t] for t in populatedTractList], [HDweight[t] for t in populatedTractList]\n",
    "\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"vtd avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "ax.hist(popTractUse, bins=n_bins, weights=plotWts)\n",
    "plt.show()\n",
    "HDvPop = [np.sum([hdCPpop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.scatter([hdCPpop[t] for t in populatedTractList],[HDvPop[t] for t in populatedTractList] )\n",
    "print(\"here are your HD pops\")\n",
    "plt.show()\n",
    "origHDHDtractList = [HDtractList[t].copy() for t in range(nHDs)] #save for posterity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "b7f36a0f-a3c6-4b07-aecd-9e010b02918f",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATE = \"10May\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "37c238bb-b340-431b-ad11-95e4409d9699",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we will write the polygon-based results to a file\n"
     ]
    }
   ],
   "source": [
    "#last block of option 2 (i.e. generating polygonal HDs from scratch)\n",
    "print(\"Now we will write the polygon-based results to a file\")\n",
    "tractNo = [t for t in range(nHDs) ]\n",
    "HDangle0 = [HDangle[t][0] for t in range(nHDs) ]\n",
    "HDangle1 = [HDangle[t][1] for t in range(nHDs) ]\n",
    "HDangle2 = [HDangle[t][2] for t in range(nHDs) ]\n",
    "HDangle3 = [HDangle[t][3] for t in range(nHDs) ]\n",
    "HDradius0 = [HDradius[t][0] for t in range(nHDs)]\n",
    "HDradius1 = [HDradius[t][1] for t in range(nHDs)]\n",
    "HDradius2 = [HDradius[t][2] for t in range(nHDs)]\n",
    "HDradius3 = [HDradius[t][3] for t in range(nHDs)]\n",
    "hdCPx, hdCPy =   [hdCP[t].x for t in range(nHDs)], [hdCP[t].y for t in range(nHDs)]\n",
    "\n",
    "paramList = [\"STATE\",\"statePop\",\"nDistricts\",\"nHDs\",\"nWedges\",\"popn-toler\",\"levelL\", \"maxAngleRatio\",\n",
    "             \"maxAngle\",\"minAdjRatio\",\"maxUncap\", \"oppWt\", \"calc sec\",\"xScale\",\"outputs...\"]\n",
    "paramValues = [STATE,statePop, nDistricts, nHDs, nWedges, tolerPop, levelL, maxAngleRatio, maxAngle, minAdjRatio, maxUncap,\n",
    "               oppWt, totalTime, xScale, -777]\n",
    "for i in range(nHDs-len(paramList)):\n",
    "    paramList.append(\".\")\n",
    "    paramValues.append(-99)  #so all columns have same number of entries, even the parameter list\n",
    "HDdf = pd.DataFrame( {\"paramList\": paramList,\"paramValues\":paramValues,\"countyNo\":HDcountyNo,\n",
    "                    \"tractNo\":tractNo,\"centroid x\":hdCPx,\"centroid y\":hdCPy,\"tractPop\":hdCPpop,\n",
    "                    \"HDweight\":HDweight,\"HD-pop\":HDvPop,\"HDarea\":HDarea, \"countyNo\":countyNo,\n",
    "                    \"startAngle\":angle0,\"HDangle0\":HDangle0,\"HDangle1\":HDangle1,\"HDangle2\":HDangle2,\"HDangle3\":HDangle3,\n",
    "                    \"HDradius0\":HDradius0,\"HDradius1\":HDradius1,\"HDradius2\":HDradius2, \"HDradius3\":HDradius3,\"tractUse\":tractUse,\n",
    "                    \"splitTractNo\":splitTractNo,\"splitTractUse\":splitTractUse,\"HDtractList\":HDtractList} ) \n",
    "\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Bnopatch\"+str(int(nDistricts))+\"nW4.csv\"  #solveWedgeB\n",
    "outname = STATE+str(int(nHDs))+\"convexHD2_\"+str(int(nDistricts))+\"nW4_\"+DATE+\".csv\"  #solveWedgeC\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Buutpatch\"+str(int(nDistricts))+\"nW4.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "HDdf.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "075013a3-f3ee-4a44-ac4a-27a7492e027a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./2024state_HD_output/PA9178convexHD2_17nW4_10May.csv\n"
     ]
    }
   ],
   "source": [
    "print(\"./\"+outpath)  #Note for PA - ran above in one session, restarted another"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "6e7e8ccd-8e11-4d6d-970d-b059401e0a3b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the original HD polygon shape assignment csv, e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv ./2024state_HD_output/PA9178convexHD2_17nW4_10May.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I have read back in the original HD shapes\n",
      "Ready to capture unit centroids based on these HD poly shapes; see next block\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 --> 1 - we already have an ensemble of HDpoly's and their weights (from running option 2 above)\n",
    "#read them in\n",
    "#determine each cluster's required area fraction capture to get 1.00 cluster use across the HD set\n",
    "#then determine total pop (including cluster in/out) for each HD, and total unit use\n",
    "#then move into triage\n",
    "infilename = input(\"enter the original HD polygon shape assignment csv, \"+ \n",
    "                   \"e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv\")\n",
    "shapeDF = pd.read_csv(infilename)\n",
    "HDvPop = shapeDF[\"HD-pop\"].to_list()\n",
    "HDweight = shapeDF['HDweight'].to_list() #shapeDF['HDwt'].to_list() or #shapeDF['HDweight'].to_list()\n",
    "HDarea = shapeDF['HDarea'].to_list()\n",
    "#tractPop = shapeDF['tractPop'].to_list()   #we will use vtd-mapped pops instead\n",
    "nHDs = len(shapeDF)\n",
    "hdCPx = shapeDF['centroid x'].to_list()   #note: these may be translated from outcroppings into a convex representation of the map\n",
    "hdCPy = shapeDF['centroid y'].to_list()\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs) ]\n",
    "HDradius0 = shapeDF['HDradius0'].to_list()\n",
    "HDradius1 = shapeDF['HDradius1'].to_list()\n",
    "HDradius2 = shapeDF['HDradius2'].to_list()\n",
    "HDradius3 = shapeDF['HDradius3'].to_list()\n",
    "HDangle0 = shapeDF['HDangle0'].to_list()\n",
    "HDangle1 = shapeDF['HDangle1'].to_list()\n",
    "HDangle2 = shapeDF['HDangle2'].to_list()\n",
    "HDangle3 = shapeDF['HDangle3'].to_list()\n",
    "HDradius, HDangle = list(), list()\n",
    "for t in range(nHDs):\n",
    "    HDradius.append( [HDradius0[t],HDradius1[t],HDradius2[t],HDradius3[t] ] )\n",
    "    HDangle.append(  [HDangle0[t], HDangle1[t], HDangle2[t], HDangle3[t]  ] )\n",
    "print(\"I have read back in the original HD shapes\")\n",
    "popHDlist = list()\n",
    "HDpoly = [dummyPoly for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001:\n",
    "        popHDlist.append(t)\n",
    "        HDpoly[t] = buildArcPoly(hdCP[t],HDradius[t], HDangle[t], xScale)\n",
    "if \"countyNo\" in shapeDF.columns.values:  #\"pigs\" == \"can fly\":\n",
    "    HDcountyNo = shapeDF['countyNo'].to_list()\n",
    "else:\n",
    "    print(\"County numbers not in input file. Now I will assign each HD center to a county based on the county geoms\")\n",
    "    HDcountyNo = [-999]*nHDs\n",
    "    for t in popHDlist:\n",
    "        for c, geom in enumerate(countyGeom):\n",
    "            if geom.contains(hdCP[t]):\n",
    "                HDcountyNo[t] = c\n",
    "                break\n",
    "    unassignedList = list()\n",
    "    for t in popHDlist:\n",
    "        if HDcountyNo[t] == -999:\n",
    "            unassignedList.append(t)\n",
    "    if len(unassignedList) > 0:\n",
    "        print(\"I found\",len(unassignedList),\"populd HDs whose centers fall outside vtd-based county lines.  Assign to closest county\")\n",
    "        for t in unassignedList:\n",
    "            minDist = maxD\n",
    "            for c in range(nCounties):\n",
    "                dist = countyGeom[c].distance(hdCP[t])\n",
    "                if dist < minDist:\n",
    "                    minDist = dist\n",
    "                    HDcountyNo[t] = c\n",
    "    if len(unassignedList) > 0:\n",
    "        if len(unassignedList) > 20:\n",
    "            print(\"  (too many to plot individually)\")\n",
    "        else:\n",
    "            print(\"FYI, here are those manually assigned HDcenters to their counties\")\n",
    "            for t in unassignedList:\n",
    "                print(t,HDweight[t],\" is the HD row and its weight in the ensemble\")\n",
    "                plotPoly(hdCP[t].buffer(0.1))\n",
    "                plotCenter(int(HDvPop[t]),hdCP[t],6)\n",
    "                plotPoly(countyGeom[HDcountyNo[t]])\n",
    "                plotPoly(MAP,0.2)\n",
    "                plt.show()\n",
    "print(\"Ready to capture unit centroids based on these HD poly shapes; see next block\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3f0f8434-5f7a-41d1-bd86-07ec230b4aef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now, let me renormalize the HDweights if there were cut districts\n",
      "our HDweight sum was 0.9999999999998013 but is now 1.0\n"
     ]
    }
   ],
   "source": [
    "print(\"now, let me renormalize the HDweights if there were cut districts\")\n",
    "sumWt = np.sum(HDweight)\n",
    "HDweight = [HDweight[t]/sumWt for t in range(nHDs) ]\n",
    "\n",
    "print(\"our HDweight sum was\",sumWt,\"but is now\",np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af22eba0-8e05-43e7-b96b-6aedab016957",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see early states for continuing w/option 1.  NC and later use option 3 ....\n",
    "#if this is a cold restart, would need to read in unit topology before below block"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "8d5f678f-c2df-4ee7-bafe-fd75ba2cb42e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\n"
     ]
    }
   ],
   "source": [
    "#OPTION 3 \n",
    "print(\"lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\")\n",
    "HDtractListString = shapeDF[\"HDtractList\"]\n",
    "HDtractList = [ast.literal_eval(HDtractListString[t]) for t in range(nHDs)]\n",
    "nCCBs = len(CCBlist)\n",
    "CCBpopFrac = [[0. for j in range(nCCBs) ]  for t in range(nHDs)]\n",
    "\n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "ec034144-b3dc-4b72-9350-6d85cabcb8a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\n",
      "working on vtd --> unit conversion for HD 1 last HD had pop 764599.0\n",
      "working on vtd --> unit conversion for HD 1001 last HD had pop 764457.0\n",
      "working on vtd --> unit conversion for HD 2001 last HD had pop 764309.0\n",
      "working on vtd --> unit conversion for HD 3001 last HD had pop 764827.0\n",
      "working on vtd --> unit conversion for HD 4001 last HD had pop 765495.0\n",
      "working on vtd --> unit conversion for HD 5001 last HD had pop 725268.0\n",
      "working on vtd --> unit conversion for HD 6001 last HD had pop 532248.0\n",
      "working on vtd --> unit conversion for HD 7001 last HD had pop 764433\n",
      "working on vtd --> unit conversion for HD 8001 last HD had pop 768794.0\n",
      "working on vtd --> unit conversion for HD 9001 last HD had pop 764377.0\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\" )\n",
    "HDunitList = [ list() for t in range(nHDs) ]\n",
    "for t in range(nHDs):\n",
    "    if t %1000 == 1:\n",
    "        print(\"working on vtd --> unit conversion for HD\",t,\"last HD had pop\",r3( np.sum([unitPop[u] for u in HDunitList[t-1]]) ) )\n",
    "    capturedCountyPop = [0. for c in range(nCounties)]\n",
    "    capturedCCBpop = [0. for i in range(nCCBs)]\n",
    "    for v in HDtractList[t]:\n",
    "        c = HDcountyNo[v]\n",
    "        if c in range(nCounties):  #we assigned countyno = -999 to unpopulated tracts\n",
    "            if c in unitCounties:\n",
    "                capturedCountyPop[c] += tractPop[v]\n",
    "            elif c in allFusedCounties:\n",
    "                for i, L in enumerate(CCBlist):\n",
    "                    if c in L:\n",
    "                        capturedCCBpop[i] += tractPop[v]\n",
    "            else:  #this vtd not part of a unit or fused county.  Could be split into fragments\n",
    "                for u in countyUnitList[c]:\n",
    "                    if unitParentVTDno[u] == v :  #we assign all units = vtd fragments from this HDTL-captured vtd\n",
    "                        HDunitList[t].append(u)\n",
    "    for c in unitCounties:\n",
    "        if capturedCountyPop[c] > 0.5 * countyPop[c]:\n",
    "            HDunitList[t].append(allUnits.index(c+0.5))\n",
    "    for i in range(nCCBs):  #don't yet assign in/out CCBs.  We'll do so in below block.  Just update max possible use for each CCB\n",
    "        CCBpopFrac[t][i] = capturedCCBpop[i] / CCBpop[i]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1494814c-7b90-425c-b8b1-3a2006bdeb2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\n",
      "CCBno 0 with pop 35954.0 would be used 1.477 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 1 with pop 109690.0 would be used 1.765 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 2 with pop 270876.0 would be used 1.433 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if we are not allowed to use multiple CCB's in a single HD 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CCBno 0 with pop 35954.0 would be used 1.4765317203350319 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 1 with pop 109690.0 would be used 1.764838918070821 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 2 with pop 270876.0 would be used 1.1431734178285837 if we added it to all adjoining districts with no 2-CCB districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\")\n",
    "CCBwouldUse = [0. for i in range(nCCBs)]\n",
    "CCBaddCandidates = [list() for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    jNo = allUnits.index(j+0.25)\n",
    "    ccbNbrSet = set(unitNbrs[jNo])\n",
    "    withCCBpopRat = list()\n",
    "    for t in range(nHDs):\n",
    "        if len(ccbNbrSet.intersection(set(HDunitList[t]))) > 0:\n",
    "            CCBwouldUse[j] += HDweight[t] * nDistricts\n",
    "            CCBaddCandidates[j].append(t)\n",
    "            withCCBpopRat.append((np.sum([unitPop[u] for u in HDunitList[t]]) + CCBpop[j]) / aDP )\n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",r3(CCBwouldUse[j]),\"if we added it to all adjoining districts\")\n",
    "    print(\"Here is the histogram of relative district pop with these added\")\n",
    "    plt.hist(withCCBpopRat,histtype=\"step\",label=\"CCB \"+str(j))\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "avoidMultiCCBuse = int(input(\"enter 1 if we are not allowed to use multiple CCB's in a single HD\"))  #option by state\n",
    "if avoidMultiCCBuse == 1:\n",
    "    for j in range(nCCBs):  #this block -- preventing HDs from picking up multiple CCB's; instead, pick up the closest one  \n",
    "        jNo = allUnits.index(j+0.25)\n",
    "        for jj in range(j+1, nCCBs):\n",
    "            jjNo = allUnits.index(j+0.25)\n",
    "            for t in CCBaddCandidates[j].copy():\n",
    "                if t in CCBaddCandidates[j]:\n",
    "                    if t in CCBaddCandidates[jj].copy():\n",
    "                        dist_j, dist_jj = hdCP[t].distance(unitCP[jNo]), hdCP[t].distance(unitCP[jjNo])\n",
    "                        if dist_j > dist_jj:\n",
    "                            CCBaddCandidates[j].remove(t)  #for MN, don't allow any districts with two CCB's\n",
    "                            CCBwouldUse[j] -= HDweight[t] * nDistricts\n",
    "                        else:\n",
    "                            CCBaddCandidates[jj].remove(t)\n",
    "                            CCBwouldUse[jj] -= HDweight[t] * nDistricts\n",
    "for j in range(nCCBs):    \n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",CCBwouldUse[j],\"if we added it to all adjoining districts with no 2-CCB districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0d38eb0e-b516-4fd4-bb9e-6ca0eecfa772",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\n",
      "For PA, I recommend CCBuse of 1.03, 1.03, 1.01 to account for later shedding\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 0 I reco 1.02, as we may lose a little later 1.03\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 0 is 1.0307 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 1 I reco 1.02, as we may lose a little later 1.03\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 1 is 1.03143 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 2 I reco 1.02, as we may lose a little later 1.01\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 2 is 1.01144 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\")\n",
    "print(\"For PA, I recommend CCBuse of 1.03, 1.03, 1.01 to account for later shedding\")\n",
    "#previously, we went from most-used to least-used CCB vtds until each has unit use\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "CCBuse = [0. for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    minCCBuse = float(input(\"enter target CCBuse for CCB \"+str(j)+\" I reco 1.02, as we may lose a little later\"))\n",
    "    postCCBaddPops = list()\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    #ccbNbrSet = set(unitNbrs[unitNo])\n",
    "    #ccbFrac = [-1.*CCBpopFrac[t][j] for t in range(nHDs) ]  # -1 to go from most- to least-used\n",
    "    #idx = np.argsort(ccbFrac)\n",
    "    preCCBpop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in CCBaddCandidates[j]]\n",
    "    idx = np.argsort(preCCBpop)\n",
    "    i = 0\n",
    "    t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "    while CCBuse[j] < minCCBuse  and i < len(CCBaddCandidates[j]) :  #and CCBpopFrac[t][j] > 0:\n",
    "        t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        HDunitList[t].append(unitNo)\n",
    "        postCCBaddPops.append(np.sum([unitPop[u] for u in HDunitList[t] ]))\n",
    "        i +=1\n",
    "    unitUse[unitNo] = CCBuse[j]\n",
    "    print(\"final unit use of CCB\",j, \"is\",r5(CCBuse[j]),\"; here is a histogram of HDpop using this CCB\")\n",
    "    plt.hist(postCCBaddPops)\n",
    "    plt.axvline(aDP,ls=\"--\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf747d9c-cf6d-420e-9c3c-6723619586ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "#end of preliminaries for \"option 3\" - converting HDtractlists to unit lists instead of option 2's geometric probing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26102ca2-79c1-48db-b873-7fa3a1553911",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "dc26d08c-a5d9-4e7e-9da5-ae98cf658a3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the histogram of HD pops relative to aDP\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAisAAAGdCAYAAADT1TPdAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/H5lhTAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAdkUlEQVR4nO3dbWxV933A8R+2YztRsUNHbR7mzUpakqZJYIPiOWkUtXNiKYyNF1MsEgFCeVgaUmWxusUkBJdmxbTLEFNDi8KSti9KoImSqiqIPrhBXYsnVANSqgEZZRSUzg4oi+05Kwb77EWHqYtJuY6v/cd8PtJ9wck55/7uX869X517rz0py7IsAAASVTDeAwAAvBexAgAkTawAAEkTKwBA0sQKAJA0sQIAJE2sAABJEysAQNKKxnuAizEwMBC/+tWvYvLkyTFp0qTxHgcAuAhZlkVPT0/MmDEjCgpGfn3kkoiVX/3qV1FVVTXeYwAAI3D8+PH4wz/8wxEff0nEyuTJkyPiNw+2rKxsnKcBAC5Gd3d3VFVVDb6Oj9QlEStn3/opKysTKwBwiXm/H+HwAVsAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBIWtF4DwDA2Khu2p6X8x5dtyAv54WzXFkBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEjaiGJl48aNUV1dHaWlpVFTUxN79ux5z/03bNgQ1113XVx55ZVRVVUVjz32WPz6178e0cAAwOUl51jZtm1bNDY2RnNzc+zduzdmz54d9fX18dZbbw27/5YtW6KpqSmam5vjwIED8fzzz8e2bdviiSeeeN/DAwATX86xsn79+njggQdi+fLlccMNN8SmTZviqquuihdeeGHY/Xfv3h233npr3HPPPVFdXR133nlnLF68+PdejQEAiMgxVvr6+qK9vT3q6urOnaCgIOrq6qKtrW3YY2655ZZob28fjJMjR47Ejh074q677rrg/Zw6dSq6u7uH3ACAy1NRLjufPHky+vv7o7Kycsj2ysrKOHjw4LDH3HPPPXHy5Mn4xCc+EVmWxZkzZ+Khhx56z7eBWlpaYs2aNbmMBgBMUHn/NtCuXbti7dq18ZWvfCX27t0br7zySmzfvj2efvrpCx6zcuXK6OrqGrwdP34832MCAInK6crK1KlTo7CwMDo7O4ds7+zsjGnTpg17zFNPPRVLliyJ+++/PyIibrrppujt7Y0HH3wwnnzyySgoOL+XSkpKoqSkJJfRAIAJKqcrK8XFxTF37txobW0d3DYwMBCtra1RW1s77DHvvvvueUFSWFgYERFZluU6LwBwmcnpykpERGNjYyxbtizmzZsX8+fPjw0bNkRvb28sX748IiKWLl0aM2fOjJaWloiIWLhwYaxfvz7+5E/+JGpqauLw4cPx1FNPxcKFCwejBQDgQnKOlYaGhjhx4kSsXr06Ojo6Ys6cObFz587BD90eO3ZsyJWUVatWxaRJk2LVqlXx5ptvxoc+9KFYuHBhfOELXxi9RwEATFiTskvgvZju7u4oLy+Prq6uKCsrG+9xAC5J1U3b83Leo+sW5OW8XPpG6/Xb3wYCAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaSOKlY0bN0Z1dXWUlpZGTU1N7Nmz5z33f+edd2LFihUxffr0KCkpiVmzZsWOHTtGNDAAcHkpyvWAbdu2RWNjY2zatClqampiw4YNUV9fH4cOHYqKiorz9u/r64s77rgjKioq4uWXX46ZM2fGL3/5y7j66qtHY34AYILLOVbWr18fDzzwQCxfvjwiIjZt2hTbt2+PF154IZqams7b/4UXXoi33347du/eHVdccUVERFRXV7+/qQGAy0ZObwP19fVFe3t71NXVnTtBQUHU1dVFW1vbsMd85zvfidra2lixYkVUVlbGjTfeGGvXro3+/v73NzkAcFnI6crKyZMno7+/PyorK4dsr6ysjIMHDw57zJEjR+JHP/pR3HvvvbFjx444fPhwPPzww3H69Olobm4e9phTp07FqVOnBv/d3d2dy5gAwASS928DDQwMREVFRTz33HMxd+7caGhoiCeffDI2bdp0wWNaWlqivLx88FZVVZXvMQGAROUUK1OnTo3CwsLo7Owcsr2zszOmTZs27DHTp0+PWbNmRWFh4eC2j370o9HR0RF9fX3DHrNy5cro6uoavB0/fjyXMQGACSSnWCkuLo65c+dGa2vr4LaBgYFobW2N2traYY+59dZb4/DhwzEwMDC47Y033ojp06dHcXHxsMeUlJREWVnZkBsAcHnK+W2gxsbG2Lx5c3zjG9+IAwcOxKc//eno7e0d/HbQ0qVLY+XKlYP7f/rTn4633347Hn300XjjjTdi+/btsXbt2lixYsXoPQoAYMLK+avLDQ0NceLEiVi9enV0dHTEnDlzYufOnYMfuj127FgUFJxroKqqqvje974Xjz32WNx8880xc+bMePTRR+Pxxx8fvUcBAExYk7Isy8Z7iN+nu7s7ysvLo6ury1tCACNU3bQ9L+c9um5BXs7LpW+0Xr/9bSAAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSNKFY2btwY1dXVUVpaGjU1NbFnz56LOm7r1q0xadKkWLRo0UjuFgC4DOUcK9u2bYvGxsZobm6OvXv3xuzZs6O+vj7eeuut9zzu6NGj8dnPfjZuu+22EQ8LAFx+co6V9evXxwMPPBDLly+PG264ITZt2hRXXXVVvPDCCxc8pr+/P+69995Ys2ZNXHPNNe9rYADg8pJTrPT19UV7e3vU1dWdO0FBQdTV1UVbW9sFj/v85z8fFRUVcd999418UgDgslSUy84nT56M/v7+qKysHLK9srIyDh48OOwxP/nJT+L555+P/fv3X/T9nDp1Kk6dOjX47+7u7lzGBAAmkLx+G6inpyeWLFkSmzdvjqlTp170cS0tLVFeXj54q6qqyuOUAEDKcrqyMnXq1CgsLIzOzs4h2zs7O2PatGnn7f+LX/wijh49GgsXLhzcNjAw8Js7LiqKQ4cOxbXXXnvecStXrozGxsbBf3d3dwsWALhM5RQrxcXFMXfu3GhtbR38+vHAwEC0trbGI488ct7+119/fbz++utDtq1atSp6enrin//5ny8YICUlJVFSUpLLaADABJVTrERENDY2xrJly2LevHkxf/782LBhQ/T29sby5csjImLp0qUxc+bMaGlpidLS0rjxxhuHHH/11VdHRJy3HQBgODnHSkNDQ5w4cSJWr14dHR0dMWfOnNi5c+fgh26PHTsWBQV+MS4AMDomZVmWjfcQv093d3eUl5dHV1dXlJWVjfc4AJek6qbteTnv0XUL8nJeLn2j9frtEggAkDSxAgAkTawAAEkTKwBA0sQKAJA0sQIAJE2sAABJEysAQNLECgCQNLECACRNrAAASRMrAEDSxAoAkDSxAgAkTawAAEkTKwBA0sQKAJA0sQIAJE2sAABJEysAQNLECgCQNLECACRNrAAASRMrAEDSxAoAkDSxAgAkTawAAEkTKwBA0sQKAJA0sQIAJE2sAABJEysAQNLECgCQNLECACRNrAAASRMrAEDSxAoAkDSxAgAkTawAAEkTKwBA0sQKAJA0sQIAJE2sAABJEysAQNLECgCQNLECACRNrAAASRMrAEDSxAoAkDSxAgAkTawAAEkTKwBA0sQKAJA0sQIAJE2sAABJEysAQNLECgCQNLECACRNrAAASRMrAEDSxAoAkDSxAgAkTawAAEkTKwBA0sQKAJA0sQIAJE2sAABJEysAQNJGFCsbN26M6urqKC0tjZqamtizZ88F9928eXPcdtttMWXKlJgyZUrU1dW95/4AAL8t51jZtm1bNDY2RnNzc+zduzdmz54d9fX18dZbbw27/65du2Lx4sXx2muvRVtbW1RVVcWdd94Zb7755vseHgCY+CZlWZblckBNTU18/OMfj2effTYiIgYGBqKqqio+85nPRFNT0+89vr+/P6ZMmRLPPvtsLF269KLus7u7O8rLy6OrqyvKyspyGReA/1fdtD0v5z26bkFezsulb7Rev3O6stLX1xft7e1RV1d37gQFBVFXVxdtbW0XdY533303Tp8+HR/84AcvuM+pU6eiu7t7yA0AuDzlFCsnT56M/v7+qKysHLK9srIyOjo6Luocjz/+eMyYMWNI8PyulpaWKC8vH7xVVVXlMiYAMIGM6beB1q1bF1u3bo1XX301SktLL7jfypUro6ura/B2/PjxMZwSAEhJUS47T506NQoLC6Ozs3PI9s7Ozpg2bdp7HvvMM8/EunXr4oc//GHcfPPN77lvSUlJlJSU5DIaADBB5XRlpbi4OObOnRutra2D2wYGBqK1tTVqa2sveNyXvvSlePrpp2Pnzp0xb968kU8LAFx2crqyEhHR2NgYy5Yti3nz5sX8+fNjw4YN0dvbG8uXL4+IiKVLl8bMmTOjpaUlIiK++MUvxurVq2PLli1RXV09+NmWD3zgA/GBD3xgFB8KADAR5RwrDQ0NceLEiVi9enV0dHTEnDlzYufOnYMfuj127FgUFJy7YPPVr341+vr64q//+q+HnKe5uTk+97nPvb/pAYAJL+ffszIe/J4VgPfP71lhrI3L71kBABhrYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKSJFQAgaWIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJJWNN4DAHBpq27anrdzH123IG/n5tLhygoAkDSxAgAkTawAAEkTKwBA0sQKAJA0sQIAJE2sAABJEysAQNLECgCQNLECACRNrAAASRMrAEDSxAoAkDSxAgAkTawAAEkTKwBA0sQKAJA0sQIAJE2sAABJEysAQNKKRnLQxo0b4x//8R+jo6MjZs+eHV/+8pdj/vz5F9z/pZdeiqeeeiqOHj0aH/nIR+KLX/xi3HXXXSMeGgAuR9VN2/Ny3qPrFuTlvKMl51jZtm1bNDY2xqZNm6KmpiY2bNgQ9fX1cejQoaioqDhv/927d8fixYujpaUl/uIv/iK2bNkSixYtir1798aNN944Kg8CgIkpXy/OEfl7gc7nzJerSVmWZbkcUFNTEx//+Mfj2WefjYiIgYGBqKqqis985jPR1NR03v4NDQ3R29sb3/3udwe3/dmf/VnMmTMnNm3adFH32d3dHeXl5dHV1RVlZWW5jAvA//MiyoXkK9xG6/U7pysrfX190d7eHitXrhzcVlBQEHV1ddHW1jbsMW1tbdHY2DhkW319fXz729++4P2cOnUqTp06Nfjvrq6uiPjNgwYmnhubvzfeI+Ts52vq83LeS3EtuPTl6/X17HlzvC5ynpxi5eTJk9Hf3x+VlZVDtldWVsbBgweHPaajo2PY/Ts6Oi54Py0tLbFmzZrztldVVeUyLkDelG8Y7wlg9OT757mnpyfKy8tHfPyIPmCbbytXrhxyNWZgYCDefvvt+IM/+IOYNGnSqN1Pd3d3VFVVxfHjxy/7t5esxVDW4xxrcY61OMdaDGU9zvnttZg8eXL09PTEjBkz3tc5c4qVqVOnRmFhYXR2dg7Z3tnZGdOmTRv2mGnTpuW0f0RESUlJlJSUDNl29dVX5zJqTsrKyi77H66zrMVQ1uMca3GOtTjHWgxlPc45uxbv54rKWTn9npXi4uKYO3dutLa2Dm4bGBiI1tbWqK2tHfaY2traIftHRPzgBz+44P4AAL8t57eBGhsbY9myZTFv3ryYP39+bNiwIXp7e2P58uUREbF06dKYOXNmtLS0RETEo48+Grfffnv80z/9UyxYsCC2bt0aP/vZz+K5554b3UcCAExIOcdKQ0NDnDhxIlavXh0dHR0xZ86c2Llz5+CHaI8dOxYFBecu2Nxyyy2xZcuWWLVqVTzxxBPxkY98JL797W8n8TtWSkpKorm5+by3nC5H1mIo63GOtTjHWpxjLYayHufkYy1y/j0rAABjyd8GAgCSJlYAgKSJFQAgaWIFAEjahI+VjRs3RnV1dZSWlkZNTU3s2bPnPfd/6aWX4vrrr4/S0tK46aabYseOHWM0af7lshabN2+O2267LaZMmRJTpkyJurq637t2l5pcfzbO2rp1a0yaNCkWLVqU3wHHUK5r8c4778SKFSti+vTpUVJSErNmzZow/6/kuhYbNmyI6667Lq688sqoqqqKxx57LH7961+P0bT58+Mf/zgWLlwYM2bMiEmTJr3n33M7a9euXfGnf/qnUVJSEh/+8Ifj61//et7nHAu5rsUrr7wSd9xxR3zoQx+KsrKyqK2tje99b2L8zaeR/Fyc9dOf/jSKiopizpw5Od/vhI6Vbdu2RWNjYzQ3N8fevXtj9uzZUV9fH2+99daw++/evTsWL14c9913X+zbty8WLVoUixYtip///OdjPPnoy3Utdu3aFYsXL47XXnst2traoqqqKu6888548803x3jy/Mh1Pc46evRofPazn43bbrttjCbNv1zXoq+vL+644444evRovPzyy3Ho0KHYvHlzzJw5c4wnH325rsWWLVuiqakpmpub48CBA/H888/Htm3b4oknnhjjyUdfb29vzJ49OzZu3HhR+//nf/5nLFiwID75yU/G/v3742//9m/j/vvvnxAv0rmuxY9//OO44447YseOHdHe3h6f/OQnY+HChbFv3748T5p/ua7FWe+8804sXbo0/vzP/3xkd5xNYPPnz89WrFgx+O/+/v5sxowZWUtLy7D733333dmCBQuGbKupqcn+5m/+Jq9zjoVc1+J3nTlzJps8eXL2jW98I18jjqmRrMeZM2eyW265JfuXf/mXbNmyZdlf/dVfjcGk+ZfrWnz1q1/Nrrnmmqyvr2+sRhwzua7FihUrsk996lNDtjU2Nma33nprXuccaxGRvfrqq++5z9///d9nH/vYx4Zsa2hoyOrr6/M42di7mLUYzg033JCtWbNm9AcaR7msRUNDQ7Zq1aqsubk5mz17ds73NWGvrPT19UV7e3vU1dUNbisoKIi6urpoa2sb9pi2trYh+0dE1NfXX3D/S8VI1uJ3vfvuu3H69On44Ac/mK8xx8xI1+Pzn/98VFRUxH333TcWY46JkazFd77znaitrY0VK1ZEZWVl3HjjjbF27dro7+8fq7HzYiRrccstt0R7e/vgW0VHjhyJHTt2xF133TUmM6dkoj5/joaBgYHo6emZEM+fI/G1r30tjhw5Es3NzSM+R5J/dXk0nDx5Mvr7+wd/s+5ZlZWVcfDgwWGP6ejoGHb/jo6OvM05FkayFr/r8ccfjxkzZpz3ZHQpGsl6/OQnP4nnn38+9u/fPwYTjp2RrMWRI0fiRz/6Udx7772xY8eOOHz4cDz88MNx+vTp9/VkNN5Gshb33HNPnDx5Mj7xiU9ElmVx5syZeOihhybE20C5utDzZ3d3d/zv//5vXHnlleM02fh75pln4n/+53/i7rvvHu9Rxtx//Md/RFNTU/zrv/5rFBWNPDkm7JUVRs+6deti69at8eqrr0Zpael4jzPmenp6YsmSJbF58+aYOnXqeI8z7gYGBqKioiKee+65mDt3bjQ0NMSTTz4ZmzZtGu/RxtyuXbti7dq18ZWvfCX27t0br7zySmzfvj2efvrp8R6NRGzZsiXWrFkT3/rWt6KiomK8xxlT/f39cc8998SaNWti1qxZ7+tcE/bKytSpU6OwsDA6OzuHbO/s7Ixp06YNe8y0adNy2v9SMZK1OOuZZ56JdevWxQ9/+MO4+eab8znmmMl1PX7xi1/E0aNHY+HChYPbBgYGIiKiqKgoDh06FNdee21+h86TkfxsTJ8+Pa644oooLCwc3PbRj340Ojo6oq+vL4qLi/M6c76MZC2eeuqpWLJkSdx///0REXHTTTdFb29vPPjgg/Hkk08O+TtpE92Fnj/Lysou26sqW7dujfvvvz9eeumlCXFVOlc9PT3xs5/9LPbt2xePPPJIRPzmuTPLsigqKorvf//78alPfeqizjVh/08qLi6OuXPnRmtr6+C2gYGBaG1tjdra2mGPqa2tHbJ/RMQPfvCDC+5/qRjJWkREfOlLX4qnn346du7cGfPmzRuLUcdErutx/fXXx+uvvx779+8fvP3lX/7l4LceqqqqxnL8UTWSn41bb701Dh8+PBhsERFvvPFGTJ8+/ZINlYiRrcW77757XpCcjbjsMvuzaxP1+XOkXnzxxVi+fHm8+OKLsWDBgvEeZ1yUlZWd99z50EMPxXXXXRf79++Pmpqaiz9Zzh/JvYRs3bo1Kykpyb7+9a9n//7v/549+OCD2dVXX511dHRkWZZlS5YsyZqamgb3/+lPf5oVFRVlzzzzTHbgwIGsubk5u+KKK7LXX399vB7CqMl1LdatW5cVFxdnL7/8cvZf//Vfg7eenp7xegijKtf1+F0T6dtAua7FsWPHssmTJ2ePPPJIdujQoey73/1uVlFRkf3DP/zDeD2EUZPrWjQ3N2eTJ0/OXnzxxezIkSPZ97///ezaa6/N7r777vF6CKOmp6cn27dvX7Zv374sIrL169dn+/bty375y19mWZZlTU1N2ZIlSwb3P3LkSHbVVVdlf/d3f5cdOHAg27hxY1ZYWJjt3LlzvB7CqMl1Lb75zW9mRUVF2caNG4c8f77zzjvj9RBGTa5r8btG+m2gCR0rWZZlX/7yl7M/+qM/yoqLi7P58+dn//Zv/zb4326//fZs2bJlQ/b/1re+lc2aNSsrLi7OPvaxj2Xbt28f44nzJ5e1+OM//uMsIs67NTc3j/3geZLrz8Zvm0ixkmW5r8Xu3buzmpqarKSkJLvmmmuyL3zhC9mZM2fGeOr8yGUtTp8+nX3uc5/Lrr322qy0tDSrqqrKHn744ey///u/x37wUfbaa68N+xxw9vEvW7Ysu/322887Zs6cOVlxcXF2zTXXZF/72tfGfO58yHUtbr/99vfc/1I2kp+L3zbSWJmUZZfZtUoA4JIyYT+zAgBMDGIFAEiaWAEAkiZWAICkiRUAIGliBQBImlgBAJImVgCApIkVACBpYgUASJpYAQCSJlYAgKT9H/cDcTVaAhRjAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orig unit avg and sd usage are 1.00485 0.09947\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n",
    "print(\"Here is the histogram of HD pops relative to aDP\")\n",
    "plt.hist([HDvPop[t] / aDP for t in range(nHDs) ], bins=20, weights = HDweight, label= \"HDpop / target\" )\n",
    "plt.show()\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53e4c298-e6cb-4fee-a511-b8f6c3940539",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c4183011-724a-4014-8c94-f9f9382c7e75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Did I grossly overuse any units, or skip any live ones?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above: underused < 0.5; below overused > 1.6\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Did I grossly overuse any units, or skip any live ones?\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < 0.5 and unitPop[u] > 5:\n",
    "        plotPoly(unitGeom[u])\n",
    "        #print(u,unitPop[u], unitUse[u])\n",
    "        #for c in range(nCounties):\n",
    "        #    if u in countyUnitList[c]:\n",
    "        #        print(u,\"is in county\",c)\n",
    "        #        print(\"its neighbor units are\",unitNbrs[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"above: underused < 0.5; below overused > 1.6\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 1.6:\n",
    "        plotPoly(unitGeom[u],0.3)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ce9292b0-7d6a-419a-9491-d0def779ad04",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 9177 populated HDs out of 9178\n"
     ]
    }
   ],
   "source": [
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if len(HDunitList[t]) > 0:\n",
    "        popHDlist.append(t)\n",
    "populatedTractList = popHDlist.copy()\n",
    "print(\"there are a total of\",len(populatedTractList),\"populated HDs out of\",nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "f7f36559-7f1d-4203-8b24-0e8cc2ce1753",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this will show if we had any duplicated units in HDunitLists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this will show if we had any duplicated units in HDunitLists\")\n",
    "excess = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    excess[t] = len(HDunitList[t]) - len(set(HDunitList[t]))\n",
    "plt.hist(excess)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "27bc7f0a-d7ff-4c68-830f-29ba5013c314",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#popHDlist = populatedTractList.copy()  #somehow our popHDlist started to include the cut District HD starters\n",
    "HDunitList = [list(set(HDunitList[t])) for t in range(nHDs)]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "af8a4945-40c2-40df-8dd4-d516f4de2f0f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 700 time is now 88\n",
      "working on HD 1400 time is now 185\n",
      "working on HD 2100 time is now 278\n",
      "working on HD 2800 time is now 369\n",
      "working on HD 3500 time is now 438\n",
      "working on HD 4200 time is now 533\n",
      "working on HD 4900 time is now 611\n",
      "working on HD 5600 time is now 688\n",
      "working on HD 6301 time is now 767\n",
      "working on HD 7001 time is now 860\n",
      "working on HD 7701 time is now 963\n",
      "working on HD 8401 time is now 1021\n",
      "working on HD 9101 time is now 1114\n",
      "out of 9177 total HDs, there were 6686.0 contiguous and 1303.0 complement-contiguous HDs\n",
      "2111 HDs had both discontiguity problems, while enclave-only = 5763 and discontig only= 380\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 2491 5763\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "40f06e44-45be-4a36-b62c-26698af70e06",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 726621 district pop vs 764864 target\n",
      "we'll also trim any HD with total islands' pop <= 15297\n",
      "working on HD 1\n",
      "working on HD 456\n",
      "working on HD 1107\n",
      "working on HD 2130\n",
      "working on HD 2876\n",
      "working on HD 3420\n",
      "working on HD 4133\n",
      "working on HD 4767\n",
      "working on HD 5442\n",
      "working on HD 6162\n",
      "working on HD 7655\n",
      "working on HD 8373\n",
      "working on HD 8920\n",
      "Out of 2491 discontig HDs 2491 had discontig HDs.\n",
      "Of these, 2244 won't be under 726621 after all minor discontigys were shed, while 247 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "reclassifying HD 1\n",
      "reclassifying HD 1659\n",
      "reclassifying HD 3420\n",
      "reclassifying HD 5074\n",
      "reclassifying HD 7655\n",
      "There are 247 HDs still with both discontinuity problems\n",
      "Additionally, 1922 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%200 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for i, t in enumerate(sPgenerator):    \n",
    "    if i%500 == 0:\n",
    "        print(\"reclassifying HD\",t)\n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4037f8cb-661b-4032-bfb9-e147975e3bbb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classify further: ID those with adjoiners intersecting the map boundary vs internal islands\n",
      "working on enclave-generating HD 0\n",
      "working on enclave-generating HD 924\n",
      "working on enclave-generating HD 1574\n",
      "working on enclave-generating HD 2317\n",
      "working on enclave-generating HD 3113\n",
      "working on enclave-generating HD 3974\n",
      "working on enclave-generating HD 4728\n",
      "working on enclave-generating HD 5627\n",
      "working on enclave-generating HD 6477\n",
      "working on enclave-generating HD 7131\n",
      "working on enclave-generating HD 7792\n",
      "working on enclave-generating HD 8709\n",
      "working on enclave-generating HD 704\n",
      "working on enclave-generating HD 3260\n",
      "working on enclave-generating HD 5074\n",
      "working on enclave-generating HD 8490\n",
      "Out of 7685 HDpolys that generated enclaves, 0 had contiguous adjrs, while 5213 neighbored a state boundary while 2472 had only internal enclaves\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to print the total enclave pops for all enclavy HDs.  This takes a few min; not required 0\n"
     ]
    }
   ],
   "source": [
    "print(\"Classify further: ID those with adjoiners intersecting the map boundary vs internal islands\")\n",
    "internals, edgers, nOK = list(), list(), 0\n",
    "for i,t in enumerate(eLgenerator):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on enclave-generating HD\",t)\n",
    "    twoNbrs = get2nbrs(HDunitList[t],unitNbrs)\n",
    "    isContig, adjSublist = isContiguous(twoNbrs,unitNbrs)\n",
    "    if isContig:\n",
    "        nOK +=1\n",
    "    else:\n",
    "        if len (set(getAdjoiners(HDunitList[t],unitNbrs)).intersection(set(borderUnits)))  > 0:\n",
    "            edgers.append(t)\n",
    "        else:\n",
    "            internals.append(t)\n",
    "print(\"Out of\",len(eLgenerator),\"HDpolys that generated enclaves,\",nOK,\"had contiguous adjrs, while\",len(edgers),\n",
    "      \"neighbored a state boundary while\",len(internals),\"had only internal enclaves\")\n",
    " \n",
    "plotEnclaves = input(\"enter 1 to print the total enclave pops for all enclavy HDs.  This takes a few min; not required\")\n",
    "if str(plotEnclaves) == str(1):\n",
    "    for i,t in enumerate(internals): \n",
    "        if i%500 == 0:\n",
    "            print(\"computing full enclave lists for HD\",t)\n",
    "        fullEnclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        tEpop = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in fullEnclaveLists ] ) \n",
    "        plt.scatter(HDvPop[t],tEpop)\n",
    "    plt.plot([aDP,aDP],[0,5000],ls=\"--\")\n",
    "    print(\"Here are the total enclave pops for enclaving HDs not touching the state boundary vs. the original HD pop\")\n",
    "    plt.show()    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "05f929ce-4f94-47a6-baf4-60c5a89e2ae5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 803107 district pop vs 764864 target\n",
      "working on enclave-y HD 105 . We have evaluated 0 of 7685 enclavy HDs.Time is now 0\n",
      "working on enclave-y HD 458 . We have evaluated 100 of 7685 enclavy HDs.Time is now 15\n",
      "working on enclave-y HD 945 . We have evaluated 200 of 7685 enclavy HDs.Time is now 31\n",
      "working on enclave-y HD 1144 . We have evaluated 300 of 7685 enclavy HDs.Time is now 49\n",
      "working on enclave-y HD 1309 . We have evaluated 400 of 7685 enclavy HDs.Time is now 70\n",
      "working on enclave-y HD 1545 . We have evaluated 500 of 7685 enclavy HDs.Time is now 87\n",
      "working on enclave-y HD 1742 . We have evaluated 600 of 7685 enclavy HDs.Time is now 105\n",
      "working on enclave-y HD 1911 . We have evaluated 700 of 7685 enclavy HDs.Time is now 123\n",
      "working on enclave-y HD 2518 . We have evaluated 800 of 7685 enclavy HDs.Time is now 141\n",
      "working on enclave-y HD 3452 . We have evaluated 900 of 7685 enclavy HDs.Time is now 157\n",
      "working on enclave-y HD 3763 . We have evaluated 1000 of 7685 enclavy HDs.Time is now 176\n",
      "working on enclave-y HD 4089 . We have evaluated 1100 of 7685 enclavy HDs.Time is now 195\n",
      "working on enclave-y HD 4255 . We have evaluated 1200 of 7685 enclavy HDs.Time is now 212\n",
      "working on enclave-y HD 4951 . We have evaluated 1300 of 7685 enclavy HDs.Time is now 228\n",
      "working on enclave-y HD 6232 . We have evaluated 1400 of 7685 enclavy HDs.Time is now 250\n",
      "working on enclave-y HD 6850 . We have evaluated 1500 of 7685 enclavy HDs.Time is now 274\n",
      "working on enclave-y HD 7322 . We have evaluated 1600 of 7685 enclavy HDs.Time is now 297\n",
      "working on enclave-y HD 7974 . We have evaluated 1700 of 7685 enclavy HDs.Time is now 318\n",
      "working on enclave-y HD 8973 . We have evaluated 1800 of 7685 enclavy HDs.Time is now 338\n",
      "working on enclave-y HD 466 . We have evaluated 1900 of 7685 enclavy HDs.Time is now 355\n",
      "working on enclave-y HD 1403 . We have evaluated 2000 of 7685 enclavy HDs.Time is now 375\n",
      "working on enclave-y HD 3281 . We have evaluated 2100 of 7685 enclavy HDs.Time is now 394\n",
      "working on enclave-y HD 3720 . We have evaluated 2200 of 7685 enclavy HDs.Time is now 409\n",
      "working on enclave-y HD 5233 . We have evaluated 2300 of 7685 enclavy HDs.Time is now 425\n",
      "working on enclave-y HD 8157 . We have evaluated 2400 of 7685 enclavy HDs.Time is now 444\n",
      "working on enclave-y HD 51 . We have evaluated 2500 of 7685 enclavy HDs.Time is now 462\n",
      "working on enclave-y HD 435 . We have evaluated 2600 of 7685 enclavy HDs.Time is now 477\n",
      "working on enclave-y HD 695 . We have evaluated 2700 of 7685 enclavy HDs.Time is now 491\n",
      "working on enclave-y HD 984 . We have evaluated 2800 of 7685 enclavy HDs.Time is now 506\n",
      "working on enclave-y HD 1384 . We have evaluated 2900 of 7685 enclavy HDs.Time is now 522\n",
      "working on enclave-y HD 1784 . We have evaluated 3000 of 7685 enclavy HDs.Time is now 537\n",
      "working on enclave-y HD 2047 . We have evaluated 3100 of 7685 enclavy HDs.Time is now 548\n",
      "working on enclave-y HD 2209 . We have evaluated 3200 of 7685 enclavy HDs.Time is now 558\n",
      "working on enclave-y HD 2449 . We have evaluated 3300 of 7685 enclavy HDs.Time is now 573\n",
      "working on enclave-y HD 2672 . We have evaluated 3400 of 7685 enclavy HDs.Time is now 587\n",
      "working on enclave-y HD 2863 . We have evaluated 3500 of 7685 enclavy HDs.Time is now 598\n",
      "working on enclave-y HD 3077 . We have evaluated 3600 of 7685 enclavy HDs.Time is now 610\n",
      "working on enclave-y HD 3255 . We have evaluated 3700 of 7685 enclavy HDs.Time is now 623\n",
      "working on enclave-y HD 3596 . We have evaluated 3800 of 7685 enclavy HDs.Time is now 636\n",
      "working on enclave-y HD 4006 . We have evaluated 3900 of 7685 enclavy HDs.Time is now 647\n",
      "working on enclave-y HD 4333 . We have evaluated 4000 of 7685 enclavy HDs.Time is now 660\n",
      "working on enclave-y HD 4532 . We have evaluated 4100 of 7685 enclavy HDs.Time is now 675\n",
      "working on enclave-y HD 4773 . We have evaluated 4200 of 7685 enclavy HDs.Time is now 685\n",
      "working on enclave-y HD 4940 . We have evaluated 4300 of 7685 enclavy HDs.Time is now 695\n",
      "working on enclave-y HD 5189 . We have evaluated 4400 of 7685 enclavy HDs.Time is now 706\n",
      "working on enclave-y HD 5414 . We have evaluated 4500 of 7685 enclavy HDs.Time is now 719\n",
      "working on enclave-y HD 5631 . We have evaluated 4600 of 7685 enclavy HDs.Time is now 734\n",
      "working on enclave-y HD 5830 . We have evaluated 4700 of 7685 enclavy HDs.Time is now 747\n",
      "working on enclave-y HD 6054 . We have evaluated 4800 of 7685 enclavy HDs.Time is now 761\n",
      "working on enclave-y HD 6251 . We have evaluated 4900 of 7685 enclavy HDs.Time is now 777\n",
      "working on enclave-y HD 6444 . We have evaluated 5000 of 7685 enclavy HDs.Time is now 792\n",
      "working on enclave-y HD 6607 . We have evaluated 5100 of 7685 enclavy HDs.Time is now 806\n",
      "working on enclave-y HD 6757 . We have evaluated 5200 of 7685 enclavy HDs.Time is now 819\n",
      "working on enclave-y HD 6914 . We have evaluated 5300 of 7685 enclavy HDs.Time is now 832\n",
      "working on enclave-y HD 7092 . We have evaluated 5400 of 7685 enclavy HDs.Time is now 845\n",
      "working on enclave-y HD 7292 . We have evaluated 5500 of 7685 enclavy HDs.Time is now 860\n",
      "working on enclave-y HD 7471 . We have evaluated 5600 of 7685 enclavy HDs.Time is now 875\n",
      "working on enclave-y HD 7642 . We have evaluated 5700 of 7685 enclavy HDs.Time is now 890\n",
      "working on enclave-y HD 7796 . We have evaluated 5800 of 7685 enclavy HDs.Time is now 903\n",
      "working on enclave-y HD 8017 . We have evaluated 5900 of 7685 enclavy HDs.Time is now 911\n",
      "working on enclave-y HD 8227 . We have evaluated 6000 of 7685 enclavy HDs.Time is now 922\n",
      "working on enclave-y HD 8418 . We have evaluated 6100 of 7685 enclavy HDs.Time is now 928\n",
      "working on enclave-y HD 8701 . We have evaluated 6200 of 7685 enclavy HDs.Time is now 943\n",
      "working on enclave-y HD 8927 . We have evaluated 6300 of 7685 enclavy HDs.Time is now 959\n",
      "working on enclave-y HD 9157 . We have evaluated 6400 of 7685 enclavy HDs.Time is now 979\n",
      "working on enclave-y HD 286 . We have evaluated 6500 of 7685 enclavy HDs.Time is now 994\n",
      "working on enclave-y HD 1018 . We have evaluated 6600 of 7685 enclavy HDs.Time is now 1009\n",
      "working on enclave-y HD 2337 . We have evaluated 6700 of 7685 enclavy HDs.Time is now 1024\n",
      "working on enclave-y HD 2904 . We have evaluated 6800 of 7685 enclavy HDs.Time is now 1037\n",
      "working on enclave-y HD 3523 . We have evaluated 6900 of 7685 enclavy HDs.Time is now 1048\n",
      "working on enclave-y HD 4407 . We have evaluated 7000 of 7685 enclavy HDs.Time is now 1062\n",
      "working on enclave-y HD 4702 . We have evaluated 7100 of 7685 enclavy HDs.Time is now 1074\n",
      "working on enclave-y HD 5208 . We have evaluated 7200 of 7685 enclavy HDs.Time is now 1085\n",
      "working on enclave-y HD 5921 . We have evaluated 7300 of 7685 enclavy HDs.Time is now 1100\n",
      "working on enclave-y HD 7072 . We have evaluated 7400 of 7685 enclavy HDs.Time is now 1115\n",
      "working on enclave-y HD 8111 . We have evaluated 7500 of 7685 enclavy HDs.Time is now 1125\n",
      "working on enclave-y HD 8700 . We have evaluated 7600 of 7685 enclavy HDs.Time is now 1139\n",
      "Out of 7685 HDs with enclaves 7685 had enclaves.\n",
      "Of these, 7609 wouldn't be over 803107 if all enclaves filled, while 76 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"CANFILL\" CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(internals + edgers):\n",
    "    if iii%200 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "8987ad1f-d372-415d-a2ec-8fc6736c5102",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2472 5213 2111 1274\n",
      "76 76 7609\n"
     ]
    }
   ],
   "source": [
    "print(len(internals),len(edgers),len(doubleTroubleList),len(set(edgers).intersection(set(doubleTroubleList))))\n",
    "print(len(set(edgers).difference(set(canFill))) ,len(cantFill) , len(canFill))\n",
    "#610 3379 2187 1954\n",
    "#80 80 3909  for original MN option3 (assigned CCBs by captured area)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "8fa887be-92e6-422a-8e80-e00fd3265aab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.0066 0.09956\n",
      "CCB cluster 0 = unit 8797 with pop 35954.0 now has use of 1.0306973167111388\n",
      "CCB cluster 1 = unit 8798 with pop 109690.0 now has use of 1.0314333946026644\n",
      "CCB cluster 2 = unit 8799 with pop 270876.0 now has use of 1.022063109969447\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "e9d50ef8-39b2-4e22-a11e-cabeda78721e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "b759b3c7-b8a3-4d2c-a8fe-50fa93b3e940",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "HDunitList = [savedHDunitList[t].copy() for t in range(nHDs) ]   #restart\n",
    "HDvPop = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.axvline(aDP, ls=\"--\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "551454fb-d57c-466f-8b31-39ccb2a728de",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the HD centers for 76 cantFill HDs with border or big enclaves\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the HD centers for\",len(cantFill),\"cantFill HDs with border or big enclaves\")\n",
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.02))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "5269a224-4a97-417c-99af-6a98df0087ae",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the barredJettisonSet (cannot be shed in below MUSTFREE code) is {8797, 8798, 8799}\n",
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 800\n",
      "working on avg unit-to-HDcp dist for HD 1600\n",
      "working on avg unit-to-HDcp dist for HD 2400\n",
      "working on avg unit-to-HDcp dist for HD 3200\n",
      "working on avg unit-to-HDcp dist for HD 4000\n",
      "working on avg unit-to-HDcp dist for HD 4800\n",
      "working on avg unit-to-HDcp dist for HD 5600\n",
      "working on avg unit-to-HDcp dist for HD 6401\n",
      "working on avg unit-to-HDcp dist for HD 7201\n",
      "working on avg unit-to-HDcp dist for HD 8001\n",
      "working on avg unit-to-HDcp dist for HD 8801\n",
      "all unit-toHDcp distances computed\n"
     ]
    }
   ],
   "source": [
    "barredJettisonSet = set(list())\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u]% 1 > 0.23 and allUnits[u]%1 < 0.27:\n",
    "        barredJettisonSet.add(u)\n",
    "print(\"the barredJettisonSet (cannot be shed in below MUSTFREE code) is\",barredJettisonSet)\n",
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "print(\"all unit-toHDcp distances computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "6e2e44bd-a084-42f6-b533-5dc6d21912a9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this code will solve large enclaves so HD and complement are contiguous for 76 HDs\n",
      "working on HD 212 cantFill 0 of 76 .Time is now 0\n",
      "working on HD 819 cantFill 20 of 76 .Time is now 0\n",
      "working on HD 3184 cantFill 40 of 76 .Time is now 0\n",
      "working on HD 242 cantFill 60 of 76 .Time is now 3\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 1.00657 0.09953\n",
      "CCB cluster 0 = unit 8797 with pop 35954.0 now has use of 1.0306973167111388\n",
      "CCB cluster 1 = unit 8798 with pop 109690.0 now has use of 1.0314333946026644\n",
      "CCB cluster 2 = unit 8799 with pop 270876.0 now has use of 1.022063109969447\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "print(\"this code will solve large enclaves so HD and complement are contiguous for\",len(cantFill),\"HDs\")\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "for iii,t in enumerate(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "ca9ce3cb-c150-4f39-ae55-f781d39d7f57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "postMustFreeUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "c32dd108-073b-48aa-99ce-fea50c8d023c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([HDvPop[t] for t in popHDlist] )\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "f58fe2d0-3c62-412f-8984-ff5d67ea9b10",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After above work, re-classification of contiguity problems?\n",
      "working on HD 0\n",
      "working on HD 500\n",
      "working on HD 1000\n",
      "working on HD 1500\n",
      "working on HD 2000\n",
      "working on HD 2500\n",
      "working on HD 3000\n",
      "working on HD 3500\n",
      "working on HD 4000\n",
      "working on HD 4500\n",
      "working on HD 5000\n",
      "working on HD 5500\n",
      "working on HD 6000\n",
      "working on HD 6500\n",
      "working on HD 7000\n",
      "working on HD 7500\n",
      "working on HD 8000\n",
      "working on HD 8500\n",
      "working on HD 9000\n",
      "out of 9177 total HDs, there were 8915 78 0 184 HDs that were clean, discontig only, enclave-only, both problems after triage\n"
     ]
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"After above work, re-classification of contiguity problems?\")\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "1ef683a2-4429-4a91-b1ea-a9b0950dea22",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on current HD diam for HD number 0\n",
      "working on current HD diam for HD number 1000\n",
      "working on current HD diam for HD number 2000\n",
      "working on current HD diam for HD number 3000\n",
      "working on current HD diam for HD number 4000\n",
      "working on current HD diam for HD number 5000\n",
      "working on current HD diam for HD number 6001\n",
      "working on current HD diam for HD number 7001\n",
      "working on current HD diam for HD number 8001\n",
      "working on current HD diam for HD number 9001\n",
      "here is the histogram of HD diameter = sqrt(area)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDdiam = [0. for t in range(nHDs)]\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on current HD diam for HD number\",t)\n",
    "    HDdiam[t] = (HDpoly[t].intersection(MAP) ).area ** 0.5\n",
    "plt.hist([HDdiam[t] for t in popHDlist])\n",
    "print(\"here is the histogram of HD diameter = sqrt(area)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "45e3c17c-8c16-4bc5-b7fc-25b9250ed11a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we will regrow all disco'd HDs off by more than 38243 but less than 191216\n",
      "... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\n",
      "This is a total of 262 HDs to triage in this block\n",
      "working on swell-filling discontig HD 2 our 1 th HD we think we can swell out of 262 0.001 sec elapsed\n",
      "working on swell-filling discontig HD 5113 our 41 th HD we think we can swell out of 262 409.479 sec elapsed\n",
      "working on swell-filling discontig HD 41 our 81 th HD we think we can swell out of 262 1327.134 sec elapsed\n",
      "working on swell-filling discontig HD 2119 our 121 th HD we think we can swell out of 262 1940.594 sec elapsed\n",
      "working on swell-filling discontig HD 3574 our 161 th HD we think we can swell out of 262 2477.18 sec elapsed\n",
      "working on swell-filling discontig HD 5884 our 201 th HD we think we can swell out of 262 4000.456 sec elapsed\n",
      "working on swell-filling discontig HD 7668 our 241 th HD we think we can swell out of 262 6397.171 sec elapsed\n",
      "we partially regrew 204 HDs, leaving 58 to regrow from scratch\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE CANSWELL CODE\n",
    "print(\"Here, we will regrow all disco'd HDs off by more than\",int(aDP-minPostFixPop),\"but less than\",int(0.25*aDP) )\n",
    "print(\"... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\")\n",
    "HDnAddedUnits = [0 for t in range(nHDs)]\n",
    "maxGap = 0.9 * np.median(unitPop)  #set a reasonable gap prior to picking the last block\n",
    "HDdiam = [HDpoly[t].area ** 0.5 for t in range(nHDs) ] #in case not defined before\n",
    "badDiscoList = list()\n",
    "nCanSwell = 0\n",
    "triageList = discontigOnly + bothProblems\n",
    "print(\"This is a total of\",len(triageList),\"HDs to triage in this block\")\n",
    "startTime = time.time()\n",
    " \n",
    "for i,t in enumerate(triageList): #canSwell\n",
    "    if i%40 == 0:\n",
    "        SEC = r3(time.time()-startTime)\n",
    "        print(\"working on swell-filling discontig HD\",t,\"our\",i+1,\"th HD we think we can swell out of\",len(triageList),SEC,\"sec elapsed\" )\n",
    "    distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "    starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t], unitNbrs)\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    if contigPop < 0.50 * aDP or contigPop > 2.*aDP - minPostFixPop:  #formerly < 0.75 aDP\n",
    "        badDiscoList.append(t)\n",
    "    else: #rebuild from this big piece\n",
    "        nCanSwell +=1\n",
    "        gap = aDP - contigPop\n",
    "        origGap = gap\n",
    "        currList, addedList = contigUs.copy(), list()\n",
    "        adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "        nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "        nearHDscore = [ (unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] for uu in adjoiners ] \n",
    "        stillGoing = True\n",
    "\n",
    "        while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "            while i < len(nearHDscore) and notYetPicked:        \n",
    "                listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "                canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "                if canAdd:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't add any more units without creating an enclave\n",
    "            else: #we selected the best unit to add legally\n",
    "                gap -= unitPop[unitNoToAdd]\n",
    "                addedList.append(unitNoToAdd)  #so add it to our growing HD ...\n",
    "                currList.append( unitNoToAdd)\n",
    "                for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                    if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append((unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "                            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] )\n",
    "                del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                for i, uu in enumerate(nearHDlist.copy()):\n",
    "                    if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                        del nearHDscore[nearHDlist.index(uu)]\n",
    "                        del nearHDlist[ nearHDlist.index(uu)]\n",
    "        for u in addedList:\n",
    "            unitUse[u] += HDweight[t] * nDistricts\n",
    "        for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "            unitUse[u] -= HDweight[t] * nDistricts       \n",
    "        HDunitList[t] = contigUs + addedList\n",
    "        HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "        HDnAddedUnits[t] = len(addedList)\n",
    "    \n",
    "badDiscoList += enclaveOnly\n",
    "print(\"we partially regrew\",nCanSwell,\"HDs, leaving\",len(badDiscoList),\"to regrow from scratch\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "f57325dd-523c-466a-80cb-8e10b739b4ac",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous avg use and its sd are 1.00657 0.09953\n",
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.00579 0.09692\n",
      "CCB cluster 0 = unit 8797 with pop 35954.0 now has use of 0.9885591454082583\n",
      "CCB cluster 1 = unit 8798 with pop 109690.0 now has use of 0.9692943004145409\n",
      "CCB cluster 2 = unit 8799 with pop 270876.0 now has use of 1.0162503172417823\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"previous avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "0ce918e1-0d30-4930-9fb8-0769d793683c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 1000 time is now 8\n",
      "working on HD 2000 time is now 22\n",
      "working on HD 3000 time is now 31\n",
      "working on HD 4000 time is now 39\n",
      "working on HD 5000 time is now 47\n",
      "working on HD 6001 time is now 56\n",
      "working on HD 7001 time is now 69\n",
      "working on HD 8001 time is now 81\n",
      "working on HD 9001 time is now 89\n",
      "out of 9177 total HDs, there were 9119.0 contiguous and 9115.0 complement-contiguous HDs\n",
      "30 HDs had both discontiguity problems, while enclave-only = 32 and discontig only= 28\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 58 32\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "463db75a-694e-4c7d-9693-e10f3b4d65db",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 726621 district pop vs 764864 target\n",
      "we'll also trim any HD with total islands' pop <= 15297\n",
      "working on HD 1\n",
      "Out of 58 discontig HDs 58 had discontig HDs.\n",
      "Of these, 0 won't be under 726621 after all minor discontigys were shed, while 58 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "There are 58 HDs still with both discontinuity problems\n",
      "Additionally, 0 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%100 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for t in sPgenerator:    \n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "39d37c15-759f-462c-b503-047b6b5e1554",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "78 184 58\n",
      "{2048, 2052, 8, 2057, 22, 7196, 34, 35, 2042, 2086, 41, 2089, 2090, 6190, 6208, 2114, 4164, 2116, 2117, 7237, 7240, 7238, 8259, 8270, 2127, 8271, 8273, 2130, 2141, 2161, 6270, 2177, 6278, 2183, 2185, 7306, 7304, 7308, 2190, 7307, 2194, 2196, 2197, 8341, 2206, 2212, 2213, 2214, 8359, 6315, 7159, 7365, 217, 6368, 229, 233, 234, 235, 238, 239, 5359, 5358, 243, 6398, 7422, 7426, 3359, 6436, 6445, 6458, 4411, 5464, 5468, 3429, 3437, 6510, 7541, 7572, 5530, 5539, 5566, 5569, 7617, 7619, 8642, 8650, 8651, 7629, 8653, 5583, 8656, 8654, 8655, 8659, 8663, 8666, 3548, 6621, 6620, 3558, 3564, 3566, 7668, 3573, 3574, 5623, 5640, 6667, 8717, 5647, 7703, 7704, 8729, 7706, 7710, 8738, 6742, 7773, 5728, 5730, 5734, 5751, 5752, 4732, 4753, 6810, 2723, 5796, 6820, 2728, 2733, 2736, 2738, 2739, 5816, 2754, 5859, 5860, 5863, 5872, 4857, 4859, 5884, 5886, 4875, 3853, 783, 784, 785, 6935, 6953, 827, 828, 7999, 836, 3911, 5962, 846, 7008, 7009, 7012, 4981, 4982, 1922, 1923, 4996, 1924, 5000, 5001, 2954, 1930, 2968, 2969, 2972, 5032, 1961, 7084, 7085, 2993, 2995, 1977, 1979, 1983, 1994, 3019, 1998, 1999, 3024, 2001, 2008, 2009, 2012, 2013, 5084, 5091, 5096, 2032, 2034, 2036, 2037, 2038, 8183, 4088, 7158}\n"
     ]
    }
   ],
   "source": [
    "print(len(discontigOnly),len(bothProblems), len(badDiscoList))\n",
    "print((set(discontigOnly).union(set(bothProblems)) ) .difference(set(badDiscoList)) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "2e54bac4-c327-473d-bbb4-257486bddd20",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\n",
      "Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\n",
      "This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is 58\n",
      "swell-generating HD 1 our 1 th HD we must regrow out of 58 0 sec elapsed\n",
      "swell-generating HD 2111 our 11 th HD we must regrow out of 58 906 sec elapsed\n",
      "swell-generating HD 3366 our 21 th HD we must regrow out of 58 3359 sec elapsed\n",
      "swell-generating HD 5361 our 31 th HD we must regrow out of 58 4008 sec elapsed\n",
      "swell-generating HD 5969 our 41 th HD we must regrow out of 58 4586 sec elapsed\n",
      "swell-generating HD 7707 our 51 th HD we must regrow out of 58 6180 sec elapsed\n"
     ]
    }
   ],
   "source": [
    "#THIS IS THE MUSTSPAWN code block\n",
    "print(\"And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\")\n",
    "print(\"Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\")\n",
    "print(\"This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is\",len(badDiscoList))\n",
    "avgDiam = MAP.area**0.5 / float(nDistricts)\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(badDiscoList):\n",
    "    if i%10 == 0:\n",
    "        print(\"swell-generating HD\",t,\"our\",i+1,\"th HD we must regrow out of\",len(badDiscoList),int(time.time()-startTime),\"sec elapsed\" )\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = [starterU]  #we used getContigFromStarter(starterU, HDvtdList[t], unitNbrs) in above code block\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList = contigUs.copy(), list()\n",
    "    adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "    nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "    nearHDscore = [ (0.2*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] for uu in adjoiners ]\n",
    "    stillGoing = True\n",
    "    \n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd:\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #we selected the best unit to add legally\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((0.1*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "                                                                        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] )\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "        unitUse[u] -= HDweight[t] * nDistricts       \n",
    "    HDunitList[t] = contigUs + addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "b78199da-ac7c-4cfb-ac0b-26363a8a8c56",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prev avg use and its sd are 1.00579 0.09692\n",
      "defining and displaying current unit use after most recent manipulations; compare to original farther above.\n",
      "current avg use and its sd are 1.00579 0.09475\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"prev avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after most recent manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "a2242181-3a07-40b7-ae56-bbe47bd2dc79",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(not-so-)final check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 500 time is now 3 sec\n",
      "working on HD 1000 time is now 11 sec\n",
      "working on HD 1500 time is now 17 sec\n",
      "working on HD 2000 time is now 35 sec\n",
      "working on HD 2500 time is now 72 sec\n",
      "working on HD 3000 time is now 83 sec\n",
      "working on HD 3500 time is now 86 sec\n",
      "working on HD 4000 time is now 90 sec\n",
      "working on HD 4500 time is now 94 sec\n",
      "working on HD 5000 time is now 114 sec\n",
      "working on HD 5500 time is now 122 sec\n",
      "working on HD 6001 time is now 145 sec\n",
      "working on HD 6501 time is now 153 sec\n",
      "working on HD 7001 time is now 159 sec\n",
      "working on HD 7501 time is now 180 sec\n",
      "working on HD 8001 time is now 189 sec\n",
      "working on HD 8501 time is now 192 sec\n",
      "working on HD 9001 time is now 200 sec\n",
      "out of 9177 total HDs, there were 9145 0 32 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 202 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"(not-so-)final check -- any more disco's ?\")\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "623fb818-67d9-458d-b854-4c70dfa449ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 803107 district pop vs 764864 target\n",
      "working on enclave-y HD 846 . We have evaluated 0 of 7685 enclavy HDs.Time is now 0\n",
      "Out of 7685 HDs with enclaves 32 had enclaves.\n",
      "Of these, 31 wouldn't be over 803107 if all enclaves filled, while 1 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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pefnll5WTk6Nly5bpvffe0+jRo5WZmanKysqr6Q8AAGALcxUqKyuNJLNz505jjDFVVVWma9euZuPGjU7NoUOHjCRTUFBgjDFm69atJjIy0ni9XqdmzZo1xuPxmHPnzhljjHn00UfN8OHDg95r+vTpJjMz0/k7NTXVZGdnO3/X1taa5ORks2LFiia33+fzGUnG5/M141MDAID21NT991XNyfH5fJKkXr16SZIKCwtVU1OjjIwMp2bYsGHq37+/CgoKJEkFBQUaOXKkEhISnJrMzEz5/X4dOHDAqbl4HYGawDqqq6tVWFgYVBMZGamMjAynpiHnzp2T3+8PegAAADu1OOTU1dVp0aJF+trXvqYRI0ZIkrxer1wul+Li4oJqExIS5PV6nZqLA05geWDZ5Wr8fr/OnDmjzz//XLW1tQ3WBNbRkBUrVig2NtZ59OvXr/kfHAAAdAotDjnZ2dkqLi7W+vXrQ9meVrV06VL5fD7n8cknn7R3kwAAQCvp0pIXLVy4UJs3b9auXbt03XXXOc8nJiaqurpaVVVVQWdzKioqlJiY6NRcehVU4Oqri2suvSKroqJCHo9HMTExioqKUlRUVIM1gXU0xO12y+12N/8DAwCATqdZZ3KMMVq4cKFeeeUVbdu2TQMHDgxaPm7cOHXt2lX5+fnOcyUlJSorK1N6erokKT09Xfv37w+6CiovL08ej0cpKSlOzcXrCNQE1uFyuTRu3Ligmrq6OuXn5zs1AAAgzDVnNvOCBQtMbGys2bFjhykvL3ceX375pVMzf/58079/f7Nt2zbz7rvvmvT0dJOenu4sP3/+vBkxYoSZPHmyKSoqMrm5uaZv375m6dKlTs1HH31kunXrZhYvXmwOHTpkVq9ebaKiokxubq5Ts379euN2u826devMwYMHzQMPPGDi4uKCrtq6Eq6uAgCg82nq/rtZIUdSg4/nnnvOqTlz5ox58MEHTc+ePU23bt3MHXfcYcrLy4PW8/HHH5upU6eamJgY06dPH/PII4+YmpqaoJrt27ebMWPGGJfLZQYNGhT0HgHPPPOM6d+/v3G5XCY1NdXs3r27OR+HkAMAQCfU1P13hDHGtNdZpPbm9/sVGxsrn88nj8fT3s0BAABN0NT9N79dBQAArETIAQAAViLkAAAAKxFyAACAlQg5AADASoQcAABgJUIOAACwEiEHAABYiZADAACsRMgBAABWIuQAAAArEXIAAICVCDkAAMBKhBwAAGAlQg4AALASIQcAAFiJkAMAAKxEyAEAAFYi5AAAACsRcgAAgJUIOQAAwEqEHAAAYCVCDgAAsBIhBwAAWImQAwAArETIAQAAViLkAAAAKxFyAACAlQg5AADASoQcAABgJUIOAACwEiEHAABYiZADAACsRMgBAABWIuQAAAArEXIAAICVCDkAAMBKhBwAAGAlQg4AALASIQcAAFiJkAMAAKxEyAEAAFYi5AAAACsRcgAAgJUIOQAAwErNDjm7du3SbbfdpuTkZEVERGjTpk1By++9915FREQEPaZMmRJUc+LECc2aNUsej0dxcXGaO3euTp06FVSzb98+3XLLLYqOjla/fv20atWqem3ZuHGjhg0bpujoaI0cOVJbt25t7scBAACWanbIOX36tEaPHq3Vq1c3WjNlyhSVl5c7jz/84Q9By2fNmqUDBw4oLy9Pmzdv1q5du/TAAw84y/1+vyZPnqwBAwaosLBQTz75pJYvX67f/va3Ts3bb7+tmTNnau7cuXr//fc1bdo0TZs2TcXFxc39SAAAwEIRxhjT4hdHROiVV17RtGnTnOfuvfdeVVVV1TvDE3Do0CGlpKTonXfe0fjx4yVJubm5uvXWW/Xpp58qOTlZa9as0Y9+9CN5vV65XC5J0g9+8ANt2rRJhw8fliRNnz5dp0+f1ubNm51133zzzRozZozWrl3bpPb7/X7FxsbK5/PJ4/G0oAcAAEBba+r+u1Xm5OzYsUPx8fEaOnSoFixYoOPHjzvLCgoKFBcX5wQcScrIyFBkZKT27Nnj1EycONEJOJKUmZmpkpISffHFF05NRkZG0PtmZmaqoKCg0XadO3dOfr8/6AEAAOwU8pAzZcoU/cd//Ify8/P185//XDt37tTUqVNVW1srSfJ6vYqPjw96TZcuXdSrVy95vV6nJiEhIagm8PeVagLLG7JixQrFxsY6j379+l3dhwUAAB1Wl1CvcMaMGc6/R44cqVGjRmnw4MHasWOHJk2aFOq3a5alS5cqJyfH+dvv9xN0AACwVKtfQj5o0CD16dNHR44ckSQlJiaqsrIyqOb8+fM6ceKEEhMTnZqKioqgmsDfV6oJLG+I2+2Wx+MJegAAADu1esj59NNPdfz4cSUlJUmS0tPTVVVVpcLCQqdm27ZtqqurU1pamlOza9cu1dTUODV5eXkaOnSoevbs6dTk5+cHvVdeXp7S09Nb+yMBAIBOoNkh59SpUyoqKlJRUZEkqbS0VEVFRSorK9OpU6e0ePFi7d69Wx9//LHy8/N1++23a8iQIcrMzJQk3XTTTZoyZYrmzZunvXv36q233tLChQs1Y8YMJScnS5LuvvtuuVwuzZ07VwcOHNDLL7+sp59+Omio6aGHHlJubq5+8Ytf6PDhw1q+fLneffddLVy4MATdAgAAOj3TTNu3bzeS6j1mz55tvvzySzN58mTTt29f07VrVzNgwAAzb9484/V6g9Zx/PhxM3PmTNO9e3fj8XjMnDlzzMmTJ4NqPvjgAzNhwgTjdrvNtddea1auXFmvLRs2bDA33nijcblcZvjw4WbLli3N+iw+n89IMj6fr7ndAAAA2klT999XdZ+czo775AAA0Pm0631yAAAA2hshBwAAWImQAwAArETIAQAAViLkAAAAKxFyAACAlQg5AADASoQcAABgJUIOAACwEiEHAABYiZADAACsRMgBAABWIuQAAAArEXIAAICVCDkAAMBKhBwAAGAlQg4AALASIQcAAFiJkAMAAKxEyAEAAFYi5AAAACsRcgAAgJUIOQAAwEqEHAAAYCVCDgAAsBIhBwAAWImQAwAArETIAQAAViLkAAAAKxFyAACAlQg5AADASoQcAABgJUIOAACwEiEHAABYiZADAACsRMgBAABWIuQAAAArEXIAAICVCDkAAMBKhBwAAGAlQg4AALASIQcAAFiJkAMAAKxEyAEAAFZqdsjZtWuXbrvtNiUnJysiIkKbNm0KWm6M0eOPP66kpCTFxMQoIyNDH374YVDNiRMnNGvWLHk8HsXFxWnu3Lk6depUUM2+fft0yy23KDo6Wv369dOqVavqtWXjxo0aNmyYoqOjNXLkSG3durW5HwcAgHZVW2dUcPS4Xi36qwqOHldtnWnvJlmj2SHn9OnTGj16tFavXt3g8lWrVumXv/yl1q5dqz179uiaa65RZmamzp4969TMmjVLBw4cUF5enjZv3qxdu3bpgQcecJb7/X5NnjxZAwYMUGFhoZ588kktX75cv/3tb52at99+WzNnztTcuXP1/vvva9q0aZo2bZqKi4ub+5EAAGgXucXlmvDzbZr57G49tL5IM5/drQk/36bc4vL2bpoVIowxLY6MEREReuWVVzRt2jRJF87iJCcn65FHHtH3v/99SZLP51NCQoLWrVunGTNm6NChQ0pJSdE777yj8ePHS5Jyc3N166236tNPP1VycrLWrFmjH/3oR/J6vXK5XJKkH/zgB9q0aZMOHz4sSZo+fbpOnz6tzZs3O+25+eabNWbMGK1du7ZJ7ff7/YqNjZXP55PH42lpNwAA0Gy5xeVa8MJ7unQnHPE//13znbGaMiKprZvVKTR1/x3SOTmlpaXyer3KyMhwnouNjVVaWpoKCgokSQUFBYqLi3MCjiRlZGQoMjJSe/bscWomTpzoBBxJyszMVElJib744gun5uL3CdQE3qch586dk9/vD3oAANDWauuMnnjtYL2AI8l57onXDjJ0dZVCGnK8Xq8kKSEhIej5hIQEZ5nX61V8fHzQ8i5duqhXr15BNQ2t4+L3aKwmsLwhK1asUGxsrPPo169fcz8iAABXbW/pCZX7zja63Egq953V3tITbdcoC4XV1VVLly6Vz+dzHp988kl7NwkAEIYqTzYecFpSh4aFNOQkJiZKkioqKoKer6iocJYlJiaqsrIyaPn58+d14sSJoJqG1nHxezRWE1jeELfbLY/HE/QAAKCtxfeIDmkdGhbSkDNw4EAlJiYqPz/fec7v92vPnj1KT0+XJKWnp6uqqkqFhYVOzbZt21RXV6e0tDSnZteuXaqpqXFq8vLyNHToUPXs2dOpufh9AjWB9wEAoKNKHdhLSbHRziTjS0VISoqNVurAXm3ZLOs0O+ScOnVKRUVFKioqknRhsnFRUZHKysoUERGhRYsW6ac//an+9Kc/af/+/frud7+r5ORk5wqsm266SVOmTNG8efO0d+9evfXWW1q4cKFmzJih5ORkSdLdd98tl8uluXPn6sCBA3r55Zf19NNPKycnx2nHQw89pNzcXP3iF7/Q4cOHtXz5cr377rtauHDh1fcKAACtKCoyQstuS5GkekEn8Pey21IUFdlYDEKTmGbavn270YU5UUGP2bNnG2OMqaurMz/+8Y9NQkKCcbvdZtKkSaakpCRoHcePHzczZ8403bt3Nx6Px8yZM8ecPHkyqOaDDz4wEyZMMG6321x77bVm5cqV9dqyYcMGc+ONNxqXy2WGDx9utmzZ0qzP4vP5jCTj8/ma1wkAAITA6/uPmZt/9mczYMlm53Hzz/5sXt9/rL2b1qE1df99VffJ6ey4Tw4AoL3V1hntLT2hypNnFd/jwhAVZ3Aur6n77y5t2CYAAHCJqMgIpQ/u3d7NsFJYXUIOAADCByEHAABYiZADAACsRMgBAABWIuQAAAArEXIAAICVCDkAAMBKhBwAAGAlQg4AALASIQcAAFiJkAMAAKxEyAEAAFYi5AAAACsRcgAAgJUIOQAAwEqEHAAAYCVCDgAAsBIhBwAAWImQAwAArETIAQAAViLkAAAAKxFyAACAlQg5AADASoQcAABgpS7t3QAACCe1dUZ7S0+o8uRZxfeIVurAXoqKjGjvZgFWIuQAQBvJLS7XE68dVLnvrPNcUmy0lt2WoikjktqxZYCdGK4CgDaQW1yuBS+8FxRwJMnrO6sFL7yn3OLydmoZYC9CDgC0sto6oydeOyjTwLLAc0+8dlC1dQ1VAGgpQg4AtLK9pSfqncG5mJFU7jurvaUn2q5RQBgg5ABAK6s82XjAaUkdgKYh5ABAK4vvER3SOgBNQ8gBgFaWOrCXkmKj1diF4hG6cJVV6sBebdkswHqEHABoZVGREVp2W4ok1Qs6gb+X3ZbS5vfLqa0zKjh6XK8W/VUFR48z8RnW4T45ANAGpoxI0prvjK13n5zEdrpPDvfsQTiIMMaEbXT3+/2KjY2Vz+eTx+Np7+YACAMd4Y7HgXv2XLrxD7RizXfGEnTQoTV1/82ZHABoQ1GREUof3Lvd3v9K9+yJ0IV79nwrJZGfm0Cnx5wcAAgj3LMH4YSQAwBhhHv2IJwQcgAgjHDPHoQTQg4AhBHu2YNwQsgBgDDSUe/ZA7QGQg4AhJnAPXsSY4OHpBJjo7l8HFbhEnIACENTRiTpWymJ7X7PHqA1EXIAIEy19z17gNYW8uGq5cuXKyIiIugxbNgwZ/nZs2eVnZ2t3r17q3v37rrrrrtUUVERtI6ysjJlZWWpW7duio+P1+LFi3X+/Pmgmh07dmjs2LFyu90aMmSI1q1bF+qPAgAAOrFWmZMzfPhwlZeXO48333zTWfbwww/rtdde08aNG7Vz504dO3ZMd955p7O8trZWWVlZqq6u1ttvv63nn39e69at0+OPP+7UlJaWKisrS9/85jdVVFSkRYsW6f7779cbb7zRGh8HAAB0QiH/7arly5dr06ZNKioqqrfM5/Opb9++eumll/R3f/d3kqTDhw/rpptuUkFBgW6++Wa9/vrr+va3v61jx44pISFBkrR27VotWbJEn332mVwul5YsWaItW7aouLjYWfeMGTNUVVWl3NzcJreV364CAKDzaer+u1XO5Hz44YdKTk7WoEGDNGvWLJWVlUmSCgsLVVNTo4yMDKd22LBh6t+/vwoKCiRJBQUFGjlypBNwJCkzM1N+v18HDhxwai5eR6AmsI7GnDt3Tn6/P+gBAADsFPKQk5aWpnXr1ik3N1dr1qxRaWmpbrnlFp08eVJer1cul0txcXFBr0lISJDX65Ukeb3eoIATWB5Ydrkav9+vM2fONNq2FStWKDY21nn069fvaj8uAADooEJ+ddXUqVOdf48aNUppaWkaMGCANmzYoJiYmFC/XbMsXbpUOTk5zt9+v5+gAwCApVr9ZoBxcXG68cYbdeTIESUmJqq6ulpVVVVBNRUVFUpMTJQkJSYm1rvaKvD3lWo8Hs9lg5Tb7ZbH4wl6AAAAO7V6yDl16pSOHj2qpKQkjRs3Tl27dlV+fr6zvKSkRGVlZUpPT5ckpaena//+/aqsrHRq8vLy5PF4lJKS4tRcvI5ATWAdAAAAIQ853//+97Vz5059/PHHevvtt3XHHXcoKipKM2fOVGxsrObOnaucnBxt375dhYWFmjNnjtLT03XzzTdLkiZPnqyUlBTdc889+uCDD/TGG2/oscceU3Z2ttxutyRp/vz5+uijj/Too4/q8OHD+vWvf60NGzbo4YcfDvXHATq12jqjgqPH9WrRX1Vw9Lhq60J6MSUAdGghn5Pz6aefaubMmTp+/Lj69u2rCRMmaPfu3erbt68k6d/+7d8UGRmpu+66S+fOnVNmZqZ+/etfO6+PiorS5s2btWDBAqWnp+uaa67R7Nmz9ZOf/MSpGThwoLZs2aKHH35YTz/9tK677jr97ne/U2ZmZqg/TodRW2e4/TqaJbe4XE+8dlDlvrPOc0mx0Vp2Wwq/TQQgLIT8PjmdSWe5Tw47KzRXbnG5Frzwni79nzsQi/kRRgCdWbveJwehE9hZXRxwJMnrO6sFL7yn3OLydmoZOqraOqMnXjtYL+BIcp574rWDYTt0xRAeED74gc4O7Eo7qwhd2Fl9KyWRoSs49paeqBeKL2YklfvOam/pibD7cUbOigLhhTM5HVhzdlZAQOXJxr8zLamzBWdF0RKc+evcOJPTgYXLzopJ1aEV3yM6pHU24KwoWoIzf50fIacDC4edFRuR0Esd2EtJsdHy+s42uFOPkJQYeyFMhguG8NBcjU3eD5z5Y/J+58BwVQcW2Fk1dlwZoQuBoLPurBg+aB1RkRFadtuFG2de+t0J/L3stpSwOmMRLmdFERq2T94PpyE4Qk4HZvPOyvaNSHubMiJJa74zVomxwWf5EmOjQ3IE2tk2kuFwVhShY/N8yNzick34+TbNfHa3HlpfpJnP7taEn2+z9qCS4aoOLrCzunRIJ7GTD+kwfND6poxI0rdSEkM+36kzDjEyhIfmsPXMXzgOwRFyOoFLd1Z9urslI31++pwKjh7vlBN1bd2IdDRRkREhDYmddSMZOCu64IX3FCEFtb+znxVF6Nl45i9cJ98TcjqJwM4qt7hc39/4Qac6im6IjRsR23X2jWQoz4pyRaDdbDzz19Sz5+veKlWfHm5rvteEnE6ksx5FN8TGjYjtbBhiDMUQXmccrkPz2Hjmr6lnxf/vlkPOv234XjPxuJOwbaKuzZOqbWXLEGPgrOjtY65V+uDezQ44XBEYHlp78n5ba8lZcRu+15zJ6SRsOIq+lK2Tqm0V7kOMnX24zhZtOVTYWpP328OVzp43xIbvNSGnk7DlKPpSNm1EbBfuQ4w2Hmh0Nu0xVBjqyfvt5XJDcJfT2b/XDFd1EjYfRV/N8EFLdbb7vHQE4T7EaOuBRmfBUOHVa2wIrik66/eaMzmdRLgfRYcSE0dbLpyHGG0+0OjoGCoMnUvPnn9+8lzQZOPGdNbvNSGnk7Bxtn97sOkKtfYSrkOMHGi0H4YKQ+viIbjaOqPfvVlq7fea4apOxLbZ/m3NtivU2lN7DDG2t3AfrmtPDBW2Htu/15zJ6WTC9Sg6FDgaxNUK5+G69sRQYeuy+XtNyOmEbJnt39Y4GkQocKDR9hgqbH22fq8JOQgbHA0iVDjQaFvMSWwbNn6vmZMTpsLxEurA0WBjm8EIXbjKiqNBoONhTiJagjM5YShcL6HmaBDo3GwdUrkYP/4aWhHGGPsP4Rvh9/sVGxsrn88nj8fT3s1pE41dQh34XygcjogaCnm9r3Hp9jHJ+lZKIhsVAO0iXA9AW6Kp+29CThiFnNo6owk/39boFUaByXtvLvk/1u/kA0dLfz7o1StFf9WJ0zXOMjYqANoaB6DN09T9N3NywkhzLqG2XVRkhHxnqvX7tz4OCjgSt4lH04Xj3DaEHvfwaj3MyQmxhsZTJV31GGv1+Tr9v4KP9d8nvtSAXt10T/r1cnVpXkblEur/xW3icbUYWkCocA+v1kPICaGGNnpx3bpKkqq+bPlwyIqtB/XsX0p1cYj/562HNO+WgVp6a0qT28cl1P+LjQquBj8PglDiALT1MFwVIo39Qm7VlzVBAUdq3nDIiq0H9ZtdwQFHkuqM9JtdpVqx9WCT28gl1P+LjQpaiqEFhBoHoK2HkBMCl9voNcT8z+NKG8Lq83V69i+ll13Xs38pVfX5uia9r+2/UdIcbFTQUm01t435PuGDA9DWQ8gJgStt9BpT7jurX237sNHl/6/g43pncC5VZy7UNRU31LqAjQpaqi3OAuYWl2vCz7dp5rO79dD6Is18drcm/Hwbk+Et1ZwDUMJv8zAnJwSuZmP2b3/+UEMTezQYLv77xJdNWkdT6wLC4YZaV8KNAdFSrX0WkPk+4akpP5LJZPfmI+SEwNUOaTR2Fc+AXt2a9Pqm1l3Mxt8oaS6bf3kXrac1fyySq/7C2+UOQAm/LUPICYErbfSupLGreO5Jv17/vPXQZYesIiMu1KFlOKuF5mrNs4Bc9YeGDkAJvy3HnJwQuNx4alM1NOTl6hKpebcMvOzr5t0ysNn3y0GwwEbl9jHXKn1wbzYSuKLWmtvW0a/6Yz5I++BGri3HmZwQaWzoo7u7i06dO3/F1zc25BW4D86l98mJjFCz75MDIHRa4yxgR77qj/kg7aejh9+OjJATQg1t9MYN6KmJq7bJ6z/X4GuaMn6/9NYUPTJ5WLPueMwv2QKtL9Rz21pzvs/VYD5I++rI4bejI+SEWEMbveV/O1wLXnhPUsvH711dIjX3lkFNakNDR1y9rumqn94+QreOSm7SOgC0vY541R/zQdpfRw2/nQGTOdpAW96bprE7L584XaMHX3q/3h2SGWMHOpaOdi8r5oO0P27k2nKcyWkjbXEVT1PuvPybXaUafV1P3TqKey4AHVVHuuqP+SAdA7e8aBlCThtq7XvTNPXOyz9+tViSUfZL7zPGDnRQHeVeVswH6Tg6UvjtLAg5FmnqkdTx09V67NVixtgBXBHzQTqWjhJ+Owvm5FikOUdSJ07XNLqMMXYAAcwHQWdGyLFI6sBe6nVN15CtjzF2AFLHmwwNNFWnH65avXq1nnzySXm9Xo0ePVrPPPOMUlNT27tZ7SIqMkI/vX2EHnzp/cvW9b7GpeOnq6+4PsbYAQQwHwSdUac+k/Pyyy8rJydHy5Yt03vvvafRo0crMzNTlZWV7d20dnPrqGT948TGfwoiQtL/vX2EkmKjG/0JighduMqKMXYAF+MnUNDZdOqQ86//+q+aN2+e5syZo5SUFK1du1bdunXT73//+/ZuWrtaemuKfn33WPW6xhX0fNL/nFq+dVQSY+wAAOt12uGq6upqFRYWaunSpc5zkZGRysjIUEFBQYOvOXfunM6d+9+fV/D7/a3ezvZy66gkZY5o/NQy91wAANiu04aczz//XLW1tUpISAh6PiEhQYcPH27wNStWrNATTzzRFs3rEK50qSFj7AAAm3XakNMSS5cuVU5OjvO33+9Xv3792rFF7Y97LgAAbNVpQ06fPn0UFRWlioqKoOcrKiqUmJjY4GvcbrfcbndbNA8AALSzTjvx2OVyady4ccrPz3eeq6urU35+vtLT09uxZQAAoCPotGdyJCknJ0ezZ8/W+PHjlZqaqqeeekqnT5/WnDlz2rtpAACgnXXqkDN9+nR99tlnevzxx+X1ejVmzBjl5ubWm4wMAADCT4QxpqHfXAsLfr9fsbGx8vl88ng87d0cAADQBE3df3faOTkAAACXQ8gBAABWIuQAAAArEXIAAICVOvXVVVcrMOfa5t+wAgDANoH99pWunQrrkHPy5ElJCvufdgAAoDM6efKkYmNjG10e1peQ19XV6dixY+rRo4ciItruRykDv5n1ySefcOn6/6BP6qNP6qNP6qNP6qNP6rOtT4wxOnnypJKTkxUZ2fjMm7A+kxMZGanrrruu3d7f4/FY8WULJfqkPvqkPvqkPvqkPvqkPpv65HJncAKYeAwAAKxEyAEAAFYi5LQDt9utZcuWye12t3dTOgz6pD76pD76pD76pD76pL5w7ZOwnngMAADsxZkcAABgJUIOAACwEiEHAABYiZADAACsRMhpgpUrVyoiIkKLFi1ynjt79qyys7PVu3dvde/eXXfddZcqKiqCXldWVqasrCx169ZN8fHxWrx4sc6fPx9Us2PHDo0dO1Zut1tDhgzRunXr6r3/6tWrdf311ys6OlppaWnau3dv0PKmtCXUGuqTb3zjG4qIiAh6zJ8/P+h1NvXJ8uXL633eYcOGNasNNvWHdOU+CbfvSMBf//pXfec731Hv3r0VExOjkSNH6t1333WWG2P0+OOPKykpSTExMcrIyNCHH34YtI4TJ05o1qxZ8ng8iouL09y5c3Xq1Kmgmn379umWW25RdHS0+vXrp1WrVtVry8aNGzVs2DBFR0dr5MiR2rp1a9DyprQlFK7UJ/fee2+978qUKVOC1mFTn1x//fX1Pm9ERISys7Mlhef2JCQMLmvv3r3m+uuvN6NGjTIPPfSQ8/z8+fNNv379TH5+vnn33XfNzTffbP7mb/7GWX7+/HkzYsQIk5GRYd5//32zdetW06dPH7N06VKn5qOPPjLdunUzOTk55uDBg+aZZ54xUVFRJjc316lZv369cblc5ve//705cOCAmTdvnomLizMVFRVNbktb9cnXv/51M2/ePFNeXu48fD6ftX2ybNkyM3z48KDP+9lnnzW5Dbb1R1P6JNy+I8YYc+LECTNgwABz7733mj179piPPvrIvPHGG+bIkSNOzcqVK01sbKzZtGmT+eCDD8zf/u3fmoEDB5ozZ844NVOmTDGjR482u3fvNn/5y1/MkCFDzMyZM53lPp/PJCQkmFmzZpni4mLzhz/8wcTExJjf/OY3Ts1bb71loqKizKpVq8zBgwfNY489Zrp27Wr279/frLa0RZ/Mnj3bTJkyJei7cuLEiaD12NQnlZWVQZ81Ly/PSDLbt283xoTn9iQUCDmXcfLkSXPDDTeYvLw88/Wvf93ZoVdVVZmuXbuajRs3OrWHDh0ykkxBQYExxpitW7eayMhI4/V6nZo1a9YYj8djzp07Z4wx5tFHHzXDhw8Pes/p06ebzMxM5+/U1FSTnZ3t/F1bW2uSk5PNihUrmtyWUGqsT4wx9f6+lG19smzZMjN69OgGl4Xrd+RyfWJM+H1HjDFmyZIlZsKECY0ur6urM4mJiebJJ590nquqqjJut9v84Q9/MMYYc/DgQSPJvPPOO07N66+/biIiIsxf//pXY4wxv/71r03Pnj2dfgq899ChQ52//+Ef/sFkZWUFvX9aWpr5x3/8xya3JRSu1CfGXAg5t99+e6PLbeuTSz300ENm8ODBpq6uLmy3J6HAcNVlZGdnKysrSxkZGUHPFxYWqqamJuj5YcOGqX///iooKJAkFRQUaOTIkUpISHBqMjMz5ff7deDAAafm0nVnZmY666iurlZhYWFQTWRkpDIyMpyaprQllBrrk4AXX3xRffr00YgRI7R06VJ9+eWXzjIb++TDDz9UcnKyBg0apFmzZqmsrKzJbbCxP6TG+yQg3L4jf/rTnzR+/Hj9/d//veLj4/WVr3xFzz77rLO8tLRUXq83qC2xsbFKS0sL+q7ExcVp/PjxTk1GRoYiIyO1Z88ep2bixIlyuVxOTWZmpkpKSvTFF184NZfru6a0JRSu1CcBO3bsUHx8vIYOHaoFCxbo+PHjzjLb+uRi1dXVeuGFF3TfffcpIiIirLcnVyusf6DzctavX6/33ntP77zzTr1lXq9XLpdLcXFxQc8nJCTI6/U6NRd/2QLLA8suV+P3+3XmzBl98cUXqq2tbbDm8OHDTW5LqFyuTyTp7rvv1oABA5ScnKx9+/ZpyZIlKikp0R//+EenrTb1SVpamtatW6ehQ4eqvLxcTzzxhG655RYVFxeH7Xfkcn3So0ePsPuOSNJHH32kNWvWKCcnRz/84Q/1zjvv6J/+6Z/kcrk0e/Zs5/0aau/Fnzk+Pj5oeZcuXdSrV6+gmoEDB9ZbR2BZz549G+27i9dxpbaEwpX6RJKmTJmiO++8UwMHDtTRo0f1wx/+UFOnTlVBQYGioqKs65OLbdq0SVVVVbr33nudNoTj9iQUCDkN+OSTT/TQQw8pLy9P0dHR7d2cDqEpffLAAw84/x45cqSSkpI0adIkHT16VIMHD26rpraZqVOnOv8eNWqU0tLSNGDAAG3YsEExMTHt2LL2c7k+mTt3bth9RySprq5O48eP189+9jNJ0le+8hUVFxdr7dq1zg493DSlT2bMmOHUjxw5UqNGjdLgwYO1Y8cOTZo0qV3a3Vb+/d//XVOnTlVycnJ7N6XTY7iqAYWFhaqsrNTYsWPVpUsXdenSRTt37tQvf/lLdenSRQkJCaqurlZVVVXQ6yoqKpSYmChJSkxMrDfbPPD3lWo8Ho9iYmLUp08fRUVFNVhz8Tqu1JZQuFKf1NbW1ntNWlqaJOnIkSNOW23qk0vFxcXpxhtv1JEjR5rUBtv7Qwruk4aEw3ckKSlJKSkpQc/ddNNNzjBe4P2u1N7Kysqg5efPn9eJEydC8n26ePmV2hIKV+qThgwaNEh9+vQJ+q7Y1CcB//3f/60///nPuv/++53n2J60HCGnAZMmTdL+/ftVVFTkPMaPH69Zs2Y5/+7atavy8/Od15SUlKisrEzp6emSpPT0dO3fvz/of8K8vDx5PB7nf+709PSgdQRqAutwuVwaN25cUE1dXZ3y8/OdmnHjxl2xLW3RJ1FRUfVeU1RUJOnCBi3weW3qk0udOnVKR48eVVJSUpPaYHt/SMF90pBw+I587WtfU0lJSdBz//Vf/6UBAwZIkgYOHKjExMSgtvj9fu3Zsyfou1JVVaXCwkKnZtu2baqrq3OCYnp6unbt2qWamhqnJi8vT0OHDlXPnj2dmsv1XVPaEgpX6pOGfPrppzp+/HjQd8WmPgl47rnnFB8fr6ysLOc5tidXob1nPncWl14VMn/+fNO/f3+zbds28+6775r09HSTnp7uLA9czjd58mRTVFRkcnNzTd++fRu8nG/x4sXm0KFDZvXq1Q1ezud2u826devMwYMHzQMPPGDi4uKCZtBfqS2t5eI+OXLkiPnJT35i3n33XVNaWmpeffVVM2jQIDNx4kRr++SRRx4xO3bsMKWlpeatt94yGRkZpk+fPqaysrJJbbCtP67UJ+H4HTHmwi0XunTpYv75n//ZfPjhh+bFF1803bp1My+88IJTs3LlShMXF2deffVVs2/fPnP77bc3eAn5V77yFbNnzx7z5ptvmhtuuCHocumqqiqTkJBg7rnnHlNcXGzWr19vunXrVu9y6S5duph/+Zd/MYcOHTLLli1r8HLpK7Wltfvk5MmT5vvf/74pKCgwpaWl5s9//rMZO3asueGGG8zZs2et7BNjLlzJ1L9/f7NkyZJ6y8JxexIKhJwmujTknDlzxjz44IOmZ8+eplu3buaOO+4w5eXlQa/5+OOPzdSpU01MTIzp06ePeeSRR0xNTU1Qzfbt282YMWOMy+UygwYNMs8991y9937mmWdM//79jcvlMqmpqWb37t1By5vSltZwcZ+UlZWZiRMnml69ehm3222GDBliFi9eHHQPFGPs6pPp06ebpKQk43K5zLXXXmumT58edJ+PcPyOXK5PwvE7EvDaa6+ZESNGGLfbbYYNG2Z++9vfBi2vq6szP/7xj01CQoJxu91m0qRJpqSkJKjm+PHjZubMmaZ79+7G4/GYOXPmmJMnTwbVfPDBB2bChAnG7Xaba6+91qxcubJeWzZs2GBuvPFG43K5zPDhw82WLVua3ZZQuFyffPnll2by5Mmmb9++pmvXrmbAgAFm3rx5QTtaY+zrkzfeeMNIanDd4bg9CYUIY4xp77NJAAAAocacHAAAYCVCDgAAsBIhBwAAWImQAwAArETIAQAAViLkAAAAKxFyAACAlQg5AADASoQcAABgJUIOAACwEiEHAABYiZADAACs9P8BbV2Z4nbBcA0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#OPTIONAL if still enclaves -- rerun the CANFILL CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(enclaveOnly):  #internals + edgers):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "e262f9ab-1aee-4b76-bd8b-a60d62e650ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2194 697094.0 124120.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#run this if we have some stubborn border enclaves  ***\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.2))\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    for u in enclaveList:\n",
    "        plotPoly(unitCP[u].buffer(0.01))\n",
    "    for u in borderUnits:\n",
    "        plotPoly(unitGeom[u], 0.2)\n",
    "    print(t,HDvPop[t], totalEnclavePop[t])\n",
    "    for u in HDunitList[t]:\n",
    "        plotPoly(unitGeom[u])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "9d215dd4-3a68-44a8-9d41-277868020cc8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "triaging stubborn HD 2194 with pop 697094.0\n",
      "69 123156.0\n",
      "1 964\n"
     ]
    }
   ],
   "source": [
    "#continuing special PA triage\n",
    "for t in cantFill:\n",
    "    HDvPop[t] = np.sum([unitPop[u] for u in HDunitList[t] ])\n",
    "    print(\"triaging stubborn HD\",t,\"with pop\",HDvPop[t])\n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nOrigEnclaves[t] = len(enclaveLists)\n",
    "    totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "    for eL in enclaveLists:\n",
    "        print(len(eL), np.sum([unitPop[u] for u in eL]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "d575c374-84c4-4546-bbd3-c02a8f9ca044",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after filling, its unbroken and noEnclave statuses are True True\n",
      "final unbroken, noEnclave, pop for HD 2194  =  True True 821214.0\n"
     ]
    }
   ],
   "source": [
    "#continuing PA special triage.  See Ohio for more extended\n",
    "for eL in enclaveLists:\n",
    "    HDunitList[t] += eL\n",
    "unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "print(\"after filling, its unbroken and noEnclave statuses are\",unbroken, noEnclave)\n",
    "HDvPop[t] = np.sum([unitPop[u] for u in HDunitList[t] ])\n",
    "print(\"final unbroken, noEnclave, pop for HD\",t,\" = \",unbroken,noEnclave, HDvPop[t])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "18f46c40-7f28-4714-962f-0b462ff97b8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final ??? check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 500 time is now 4 sec\n",
      "working on HD 1000 time is now 10 sec\n",
      "working on HD 1500 time is now 18 sec\n",
      "working on HD 2000 time is now 24 sec\n",
      "working on HD 2500 time is now 28 sec\n",
      "working on HD 3000 time is now 32 sec\n",
      "working on HD 3500 time is now 35 sec\n",
      "working on HD 4000 time is now 39 sec\n",
      "working on HD 4500 time is now 43 sec\n",
      "working on HD 5000 time is now 46 sec\n",
      "working on HD 5500 time is now 50 sec\n",
      "working on HD 6001 time is now 54 sec\n",
      "working on HD 6501 time is now 59 sec\n",
      "working on HD 7001 time is now 65 sec\n",
      "working on HD 7501 time is now 71 sec\n",
      "working on HD 8001 time is now 76 sec\n",
      "working on HD 8501 time is now 79 sec\n",
      "working on HD 9001 time is now 84 sec\n",
      "out of 9177 total HDs, there were 9177 0 0 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 86 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"final ??? check -- any more disco's ?\")  #run again if we ran above block to fill minor enclaves\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "de4d8af8-cc64-4215-9b95-f4c6a2bd03af",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedAgainUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "f4bb76c7-0ae0-40cb-9c6a-ee436dfc30c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDunitList = [savedAgainUnitList[t].copy() for t in range(nHDs)]  #restart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "f3bcd6a8-40b6-4764-a0d1-6814e3286cb8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking on our corner clusters and unit county usage\n",
      "usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\n",
      "1.03685     0     4547 0.5\n",
      "1.21198     1     6973 0.5\n",
      "1.0431     2     14556 0.5\n",
      "1.16814     3     5840 0.5\n",
      "0.96614     8797     35954 0.25\n",
      "0.95319     8798     109690 0.25\n",
      "1.02354     8799     270876 0.25\n"
     ]
    }
   ],
   "source": [
    "print(\"checking on our corner clusters and unit county usage\")\n",
    "print(\"usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\")\n",
    "for u in range(nUnits):\n",
    "    if int(allUnits[u]) != allUnits[u] :\n",
    "        print(r5(unitUse[u]),\"   \",u,\"   \",int(unitPop[u]), allUnits[u]%1 )\n",
    "# note for MN, option 3 here led to tight CCB unit usage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "1e983c03-777a-4e81-bed0-34a620175f83",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's visualize over-used and underused units, < 0.75 or > 1.25\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here is the histogram of HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "minUnitUse, maxUnitUse = 0.75, 1.25\n",
    "print(\"let's visualize over-used and underused units, <\",minUnitUse,\"or >\",maxUnitUse)\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minUnitUse:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(\"u\",unitCP[u])\n",
    "    if unitUse[u] > maxUnitUse:\n",
    "        plotPoly(unitGeom[u], 1.5)\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"and here is the histogram of HD pops\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins = [0, 0.6*aDP, 0.7*aDP, 0.85*aDP, 0.9*aDP, 0.95*aDP,\n",
    "         0.98*aDP, aDP, 1.02*aDP, 1.05*aDP, 1.1*aDP, 1.15*aDP, 1.3*aDP, 1.5*aDP, 2.0*aDP])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "9bc31b5a-992d-4a38-b9fe-3470b55e1e2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigButOffPopUnit.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6150cac-2249-415b-a364-edf55dc441ea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "114705bb-9640-45f1-9f25-030030efaa63",
   "metadata": {},
   "outputs": [],
   "source": [
    "#below here -- working on tightening use distro while squaring up pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "5d7d8519-eb3d-4345-9ac6-ab888e61c348",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.00583 0.09469\n"
     ]
    }
   ],
   "source": [
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        latestHDpop[t] += unitPop[u]\n",
    "        latestUnitUse[u] += nDistricts * HDweight[t]\n",
    "latestUnitWeights, latestUnitDistro = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "b1971853-bda7-49a4-9f25-1bdfd5e75aa2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 800\n",
      "working on avg unit-to-HDcp dist for HD 1600\n",
      "working on avg unit-to-HDcp dist for HD 2400\n",
      "working on avg unit-to-HDcp dist for HD 3200\n",
      "working on avg unit-to-HDcp dist for HD 4000\n",
      "working on avg unit-to-HDcp dist for HD 4800\n",
      "working on avg unit-to-HDcp dist for HD 5600\n",
      "working on avg unit-to-HDcp dist for HD 6401\n",
      "working on avg unit-to-HDcp dist for HD 7201\n",
      "working on avg unit-to-HDcp dist for HD 8001\n",
      "working on avg unit-to-HDcp dist for HD 8801\n"
     ]
    }
   ],
   "source": [
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "f5b99900-614a-47df-b7de-5d59fffd6d3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 1.00583 0.09469\n"
     ]
    }
   ],
   "source": [
    "#Restart - may want to comment out first line\n",
    "HDunitList = [latestHDlist[t].copy() for t in range(nHDs)]\n",
    "unitUse = [0. for u in range(nUnits) ]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, weights = unitPop,bins = 50)\n",
    "plt.show()\n",
    "plt.hist([HDvPop[t] for t in popHDlist], bins=50)\n",
    "plt.show()\n",
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "27b51cd0-8bb6-4b16-bb79-37498e59ce5c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 437 HDs with pop < 757216 to within 1058\n",
      "working on squaring up HD 33 time is now 0\n",
      "working on squaring up HD 2227 time is now 587\n",
      "working on squaring up HD 3120 time is now 629\n",
      "working on squaring up HD 5438 time is now 1684\n",
      "working on squaring up HD 8664 time is now 2212\n",
      "We have addressed underpop in a total of 437 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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TWnOO9MQcISIyNblPh1o/RTI5m8xsbH42Xr1zQLtjNKvNMWqvqpG1roxOCYiOsmFWUQ/0zOrodZ3j8rOwYtuxgOvyfCBR+oCy8N96615PiIEQEZma1A3gqL/otXndhtYLtZZPkUzOJisINHmqmnPH1zp3HK2VFQh5PpDIfUDpkhSH3/4835Dzil1jRGRqcrsBtHqKZHI2WYk0eeqtBVeisHsXt/NA7bnjbZ1y85I8H0gCvQ8AkuKj8Yf/LMDo3lkB9zcUGAgRkelJ3QBZKe5Pl1kpCZq3zjA5m8KJVudOMEGVr/dJGpta8P9W7sCwZ7YYUlCRU2z4wSk2iMxFj/mJNlacxKx1FQGXe2FSAW4tuFLTzyYKFenccdRfQG1jMzp3jEdWsvJzSG3unLf3eVIyPUggSu7fzBEiIq/MNCmiRGqyDyWjkrOJQik6yob6C8149uMDQQ0ACJSXFOh924/UYOZbu1B3oX1NIaOqSzMQIqJ2InnElBHJ2UShpuUAALUPJNFRNkTZbF6DIIkR1aWZI0REbsw4KaKe9E7OJgo1Mw0AMLIumC8MhIjIxUwXTCPpmZxNFGpmGgBgxq5ndo0RkYvSWa3DmdpcCCKzMVMrjBm7nhkIEZGLmS6YZqBHcjZRqJmpFUbqer5/9S7X1B0So7qe2TVGRC5mumASkTbUFkMMFbN1PbNFiIhczNhsTUTBMWMrjJm6ntkiREQuHDFFFJ7M1goD+J8eRE+KAqHc3FzYbLZ2/2bOnOlaxm63Y+TIkUhKSkJycjKGDx+OCxcu+F3H0qVLXa8fO3bM62ds377dbVvWr1+PXr16ISEhAX369MGmTZvcXhdC4Mknn0R2djY6dOiAoqIiHDp0SNGXQxSJzHjBJJKrxSlgr6rBxoqTsFfVhP0IRyXG5mdj67yRWDt9MF6YVIC10wdj67yRbud0JH5/irrGdu7ciZaWFtd/V1ZWYvTo0bjtttsAtAZBY8eOxfz58/HSSy8hJiYGe/bsQVSUe7z1m9/8BtOnT3f9d6dOndp9VllZGW644QbXf3fp8kPC4ueff47JkydjyZIl+NnPfoY1a9Zg4sSJ2LVrF/Lz8wEAzz77LF588UWsWrUKeXl5eOKJJzBmzBjs378fCQnMbyDyx0zN1kRyRXIhULn8DQCQ+/2Zsep8MIKaa6y4uBgffPABDh06BJvNhsGDB2P06NFYvHixz/fk5uaiuLgYxcXFXl8/duwY8vLysHv3bhQUFHhd5vbbb0djYyM++OAD198GDx6MgoICLF++HEII5OTk4KGHHsLDDz8MAKivr0dmZibefPNNTJo0Sdb+ca4xIiJr8FU5Wcv5q6xCTaAi9/sLJtjUM4BScv9WnSPU3NyM1atXY9q0abDZbDh9+jTKy8uRkZGBIUOGIDMzEyNGjMDWrVvbvXfp0qXo0qUL+vfvj+eeew6XL19ut8yECROQkZGBYcOG4f3333d7zW63o6ioyO1vY8aMgd1uBwAcPXoUDofDbZmUlBQMGjTItYw3TU1NaGhocPtHRETmxkKgPyiprMawZ7Zg8uvbMWtdBSa/vj3grO5yv79Ne79TXXVezXbpRXUgtGHDBtTV1WHq1KkAgCNHjgAAFi1ahOnTp6OkpAQDBgzAqFGj3HJzfv3rX2PdunX45JNPcO+99+J3v/sdHnnkEdfrHTt2xPPPP4/169fjww8/xLBhwzBx4kS3YMjhcCAzM9NtezIzM+FwOFyvS3/ztYw3S5YsQUpKiutf165dVXwzRESkJzNVTjaS2ulx5H5/j2+oVBVsmn3aHtXD59944w2MGzcOOTk5AACn0wkAuPfee3H33XcDAPr374/NmzdjxYoVWLJkCQBgzpw5rnX07dsXcXFxuPfee7FkyRLEx8cjPT3dbZmbbroJ3333HZ577jlMmDBB7ebKMn/+fLfPbmhoYDBERGRyLAQauFXH36zucr+Xs+eVT5YazHbpRVWL0PHjx1FWVoZf/vKXrr9lZ7f2Dfbu3dtt2euvvx4nTpzwua5Bgwbh8uXLOHbsmN9lDh8+7PrvrKwsnDp1ym2ZU6dOISsry/W69Ddfy3gTHx+P5ORkt39ERGRuLAQaXKuYlt+LZ1BlhdY6VYHQypUrkZGRgfHjx7v+lpubi5ycHBw4cMBt2YMHD6Jbt24+11VRUYGoqChkZGT4XUYKtACgsLAQmzdvdlumtLQUhYWFAIC8vDxkZWW5LdPQ0IDy8nLXMkREFB7MVjnZCMG0igX6/pTwDKqs0FqnuGvM6XRi5cqVuOuuuxAT88PbbTYb5s6di4ULF6Jfv34oKCjAqlWr8M033+Cdd94B0JrkXF5ejp/85Cfo1KkT7HY7Zs+ejTvvvBNpaWkAgFWrViEuLg79+/cHALz33ntYsWIF/vSnP7k+a9asWRgxYgSef/55jB8/HuvWrcMXX3yB1157zbUtxcXFePrpp9GjRw/X8PmcnBxMnDhR9ZdFRETmY8bKyXoLplXM3/enhLdg0wqtdYoDobKyMpw4cQLTpk1r91pxcTEuXryI2bNno7a2Fv369UNpaSm6d+8OoLXrad26dVi0aBGampqQl5eH2bNnu+XlAMDixYtx/PhxxMTEoFevXnj77bfxH//xH67XhwwZgjVr1mDBggV47LHH0KNHD2zYsMFVQwgAHnnkETQ2NmLGjBmoq6vDsGHDUFJSwhpCRERhSCoE6jm0OytC6ggFOz2Or+8vNTEWdX5yg9ryFmxaYdqeoOoIhTvWESIispZwK/anhDQ6C/DeKianlpLn9+d0Ckx5ozzgZ88uug6zinr43S5fwca9w/Mw/6e9fbyqjpL7NwMhPxgIERGRlWhdXbvFKTDsmS0+W3QAICs5HtseHeU34FyyaT/++NlRr6/ZoH3BSyX3b84+T0REFCa0nh5HTv7Vogk3+F1/i1Pg/T3+awUZOYSes88TEVlAJE6GSepoPat7sBMxm30IPVuEiIhMjpOJktGCaWky+xB6BkJERCbmK9FUmp4gkiYTJWP5m7neH7MPoWfXGBGRSXEyUQoHZi94yUCIiMikzJ5bQeFPbW5a2/ftOFqLJ8ZfDwDtgiEzFLxk1xgRkUmZPbeCwpva3DRf75sxPA/v76k2XcFLBkJERCZl9twKCl9qc9P8ve+1z47ilTsGIC0pzlQFL9k1RkRkUmbPraDwpDY3Tc77Fn+4HzfnddZsaL8WGAgREZmUVMwOMGduBYUntblpSt5nprpY7BojIjKxSJ9MlPSnNjdN7vvK9jsw5y8VpqmLxUCIiEwhkifLDETraRMofITivFGbmyb3fW9sO9bub0bWxWIgRESGC1Xl5HAKrtQWs6PwFarzRspN8zXRqg2tLZI353V2O8fSk+KRlZyAUw2+J2j1RfxrvUbMOcbZ5/3g7PNEoedrlIl0GVT7hMhpKSicKT1vlD4USOsHvE+0+uqdAwCg3TmWmhiLuvOX2k3QqsTa6YODDvo5+zwRWUKgUSZqnxA5LQVZjZJARel5o+ahIFBuGgCv51j9+UsAgJR/BURq6F0Xi4EQERlGySgTzydEXzeOUAVXRKGiNFBRct7UX2hW/VDgKzcNAIY9s8XvMPmEmCi89ctBsFfV4OVPDvvZ+/b0rovFQIiIDKN2dIq/G0dKhzjVwRWRElrkoKlpvZR73jjqL+DZjw8E9VDgLTfNXlXj9xwDAEdDE744VovuVyTJ2lbAPfdITwyEiMgwakanBLpxTBuaK2udnJaCgqFFDpra1ku5501tY3NIHgrknjvLyg6hY7yyMMOIulgsqEhEhlFaOVlO5dq/VpyU9dmcloLUkoJxzyBDCsZLKqtlrUdt4UK5503njvGytkPpQ4GSc+f7psuylstOSTAsd4+BEBEZRmnlZDk3jtrGS+icFMdpKSgk1E4/4Y3armG5501WcmjmqpMCMa38W98sbJ030rABDAyEiMhQ0uiULI8La5aXJ0S5N46JBTkArDUthZmmHCDf1LbieBPMpLpyzptQzVXXNhDTwhfH6zRblxrMESIiw8mtnCz3xjG6dxZuzutsmWkpWPPIOtS24nijpHChN4HOGylguX/1rnZ1fYJ9KBibn43ZRddhWdlBxe/1ZPTgBQZCRGQKcionK7lxREfZLDEtBWseWUswrTietAhUAp03oZyr7sGR12LtjuNwNDSpXofEyMELDISIyDKU3jjMPi0Fax5ZT7CtOJ70mFQ3VHPVRUfZsGjCDV4rUCtl5OAFTrHhB6fYIDKncOlKslfVYPLr2wMup8WUA6QdOdNPKD0OrTwvnrfzMVVmZWkpcNw6b6Sm+8spNogorIXLbOxa5puQfkLRihOq1ks9Aixv5+PZxmY8sGaX3/eZZfACAyEiE7Ly06FezN7tJYeW+SakLysE43q2nLY9H1ucAsOe2RLwPZnJ8Vg04QbDW3EZCBGZTLh0+1BgWuebkL7MHIwbmYQfqMSA5Pn/LMDQa9NDsg1KsI4QkYloVbGWrEFpQUkiObQs+qiG3K7cM98HP9pMCwyEiEzC6IsXGUNJQUkiObQs+qiG3K7cM+eaTFFAlF1jRCah5OJl1uZ4UscK+SZkHUYn4Qfq8gWAKBuw+MOvXf9tZPc/W4SITMLoixcZS8o3ubXgShR278IgiFQzOgnfX5evxLMByMjufwZCRCZh9MXL7DgXF5E8geYYA4AuSXEY2C0tZNvgq8vXV3xvZPc/u8aITIIjiHzTciQdSxNQuPNXgV1S09iMEc994vUc0uoc8ezyPXOuya07zJNR3f8MhIhMIpQTJFqZlsOAWZqAIoWvoo9teTuHtD5H2pYY2FhxUtZ79O7+Z9cYkYlwBJE7LUfSsTQBRZqx+dn437k/QeekWK+ve55Das+RFqfAtkNn8PuPv8HvPz6AbYfPeD0n0zvGy9puuctphS1CRCbDEUQ/0GokHSc3JbMKdVftl8fPorbR95xf0jm0vapG1TlSUlmNR9/b5zav2MufHEbH+Bg8+4u++GnfbPcVyaFz+h8DISITMnPFWj1pNZKOpQnIjPToqpV7DtmPnFF8jpRUVuO+1d7nE/u+6TIeWLML9/5fHub/tHUE2ZlGeQUU5S6nFXaNEZFpaTWSjqUJyGz06qqVP8pUXiuUdI60OAUWvf9VwOX/+NlRbNr7HQDg2JlGWZ+h98hYBkJEZFqBhgHb0PoEHWgkHUsTkJnoWUVe7jkktyVUOkd2HK2Fo0Fey82CjZXYtLcay8oO+V1O7vmsNQZCRGRaWs3FpVVARaQFPafAkHsODb6mS8BzpEtSHBz1F2CvqoGj/oLsbahtvIQFGytlLWvEyFgGQkRkalqMpIvEyU1ZgNK89O6qlXMOBaoGLdBae2j2X/Zg8uvb/dYD8qa2sTngMsVF1xkyMpbJ0kRkelqMpPNVVyUrDOsIsV6SuRnRVSvnHJJTe0hyVkZgo1RueqLm65TDJoTgY4IPDQ0NSElJQX19PZKTk43eHCLSQLhXlvZVgFLaw0isR2U2LU6BYc9sCVhFfuu8kYYcm9I54mi4iMUffOV3+L0cnZNiZa1j7fTBmo3aVHL/ZtcYEUWUcJ7cVM8kXFLPLF21vrpPpXMkKzlBVgATH+M7lLAB+MWAq3zOMSYtY2SOHrvGiCgihWPLEOslWYfRXbVyuk/l5igt/UVfHDvzPf70j6NobG5xW9+Eftl47bOjAWskGpmjx0CIiCJOuObQsF6StRhVRV7u/H1yc5SykhPw8/5X4tejrnPbl4Hd0jDiuU/8BkFRNuDlyf0NPe8YCBFRRNFyElezYb0k69G7iryS6WakshOBcpmkLi3PfbFX1QRMunYKIC1J37nFPDFHiIgiRrjn0LBeEgWipPs02Fwmq7RQMhAiooihZyE7I5glCZfMq2y/Q9ZyUnASTB0vq7RQsmuMiCKGVZ5Qg2F0Ei6ZV0llNd7YdkzWsm2DE7W5TEq71ozCQIiIIoZVnlCDZVQSLpmX1C0ciK/gRE0uk9RCeb+PGeoFgAn9sg0/Ltk1RkQRI5JyaMK5XhIp0+IUeHPb0YCJy0BrcKJl9+nY/GzMGJ7n8/XXPjuKkspqTT5LLQZCRKSIleewYg4NRZqSymoMe2aL7LnBpg3N1bT7tMUp8P4e/4GO0QMU2DVGRLKFQ/0d5tBQpPBVKsKf0b2zNPlsqWDptsP/NH2RTwZCRCRLONXfYQ4NyWHl6uP+SkV4o2XisrcHpkCMHKDAQIiIAlJShM0qNwq1heysfHMk+aze+hmoVERbWnYLq2mFAoB0A4sqMhAiooA4h1Urq98cSZ5waP1U0sKiVbew0laoth5avweLJhhzHjFZmogCioT6O4FIN0fPgFC6ORo98oW0ES7Vx+WWgHhi/PXYOm+kJgGIklYoT6cajDuPGAgRUUCRUn/Hl3C5OVJg4VJ9XG6piKlD8zTr2g3mQcjI84iBEBEFFEn1d7wJl5sjBRYurZ9GlIoI9kHIqPOIgRARBRTp9XfC5eZIgYVT62cw84SpEeiBSS69zyMmSxORLJFcfyecbo7kn1XmxwpEGt3YdNmJ3/9HP8AGnPm+KaQjHdtOqWEDVCVNA/qfRwyEiEi2SK2/Ey43RwrM383cKq2f/kY3hnpUp68HJjmMOo/YNUZEikTiHFaR3jUYafTuUtKSGUY3js3Pxv/O/Qk6J8Upep/W85zJxRYhIiIZRvfOQnHRdVi57SjqLlxy/T0SugYjkRVbP81U+PTL42dR29is6D2pibEh2hr/GAgREQXgrashtUMs7h6aiwdH9jD1zZHUU1t93ChmKnyqJuG5/vwlQwpWKuoay83Nhc1ma/dv5syZrmXsdjtGjhyJpKQkJCcnY/jw4bhw4YLfdSxdutTtc/bu3Ysf/ehHSEhIQNeuXfHss8+225b169ejV69eSEhIQJ8+fbBp0ya314UQePLJJ5GdnY0OHTqgqKgIhw4dUrK7RBQmWpwC9qoabKw4CXtVjaI6Jb66GuovXMIfyg6hdL9D680lUsVMoxvVJDwbVUtIUSC0c+dOVFdXu/6VlpYCAG677TYArUHQ2LFjccstt2DHjh3YuXMnHnzwQURFuX/Mb37zG7f1/OpXv3K91tDQgFtuuQXdunXDl19+ieeeew6LFi3Ca6+95lrm888/x+TJk3HPPfdg9+7dmDhxIiZOnIjKykrXMs8++yxefPFFLF++HOXl5UhKSsKYMWNw8SKHtxJFkpLKagx7Zgsmv74ds9ZVYPLr2zHsmS2yciVYSJGsxEyjGwd2S0Oaiq4uI2oJ2YQQqs/g4uJifPDBBzh06BBsNhsGDx6M0aNHY/HixT7fk5ubi+LiYhQXF3t9/dVXX8Xjjz8Oh8OBuLjWRKtHH30UGzZswDfffAMAuP3229HY2IgPPvjA9b7BgwejoKAAy5cvhxACOTk5eOihh/Dwww8DAOrr65GZmYk333wTkyZNkrV/DQ0NSElJQX19PZKTk2W9h4j0IWfyU19zRklLBWqCt1fVYPLr2wNuy9rpgy3VhULhqcUpMOyZLQFHN26dNzKk3bklldV49L19qDt/KfDCPrwwqQC3Flyp+v1K7t+qR401Nzdj9erVmDZtGmw2G06fPo3y8nJkZGRgyJAhyMzMxIgRI7B169Z27126dCm6dOmC/v3747nnnsPly5ddr9ntdgwfPtwVBAHAmDFjcODAAZw9e9a1TFFRkds6x4wZA7vdDgA4evQoHA6H2zIpKSkYNGiQaxlvmpqa0NDQ4PaPiIIXTNeUN3JaebRozTFTVwORHJNu6uozCAJCPyqrpLIa963eFVQQBOhbS0h1svSGDRtQV1eHqVOnAgCOHDkCAFi0aBF+//vfo6CgAH/+858xatQoVFZWokePHgCAX//61xgwYAA6d+6Mzz//HPPnz0d1dTX+67/+CwDgcDiQl5fn9lmZmZmu19LS0uBwOFx/a7uMw+FwLdf2fd6W8WbJkiV46qmn1HwdRGFBTiuLUlrP2C53ZnAtEkfN1NVA5I+386wtPUY3tjgFFr3/VcDlomyAEN4LLhpRS0h1IPTGG29g3LhxyMnJAQA4nU4AwL333ou7774bANC/f39s3rwZK1aswJIlSwAAc+bMca2jb9++iIuLw7333oslS5YgPj5e9Y5oYf78+W7b19DQgK5duxq4RUT60TpgkdYpJ2iRS8nwYC1ac1hIkazA13kmmV10HR4ceW3IWoKkB6hth8/A0dAUcHmpEdYsBStVdY0dP34cZWVl+OUvf+n6W3Z268Wsd+/ebstef/31OHHihM91DRo0CJcvX8axY8cAAFlZWTh16pTbMtJ/Z2Vl+V2m7ett3+dtGW/i4+ORnJzs9o8oEoSiCFsoEo2VtPJo0ZrDQopkdv7OM6D1OF230/c9OFhtu6lf/uSw7PdNG5prmoKVqgKhlStXIiMjA+PHj3f9LTc3Fzk5OThw4IDbsgcPHkS3bt18rquiogJRUVHIyMgAABQWFuKzzz7DpUs/9C+WlpaiZ8+eSEtLcy2zefNmt/WUlpaisLAQAJCXl4esrCy3ZRoaGlBeXu5ahohahWpkVChmbFfSyhNoAkgbWlu8ArXmWLnKMIW/UJxncvl6gJJjdO8sbJ03EmunD8YLkwqwdvpgbJ030pDzSXHXmNPpxMqVK3HXXXchJuaHt9tsNsydOxcLFy5Ev379UFBQgFWrVuGbb77BO++8A6A1ybm8vBw/+clP0KlTJ9jtdsyePRt33nmnK8i544478NRTT+Gee+7BvHnzUFlZiRdeeAHLli1zfdasWbMwYsQIPP/88xg/fjzWrVuHL774wjXE3mazobi4GE8//TR69OiBvLw8PPHEE8jJycHEiROD+b6Iwo7SXBq5eUShSDRW0sqj5ZxRVqwyTJHBqIT+QC1R/kgPIGYpWKk4ECorK8OJEycwbdq0dq8VFxfj4sWLmD17Nmpra9GvXz+Ulpaie/fuAFq7ntatW4dFixahqakJeXl5mD17tlteTkpKCv7+979j5syZGDhwINLT0/Hkk09ixowZrmWGDBmCNWvWYMGCBXjsscfQo0cPbNiwAfn5+a5lHnnkETQ2NmLGjBmoq6vDsGHDUFJSgoQEJjUStaXkQqokjygUicZKc3Z8TQCpJnHULBdtoraMSugP9ADlj9m6k4OqIxTuWEeIIoHcWjmzi67DH8oOyq7JE6qaJlJzPOC9lcdbd1UoRsMZJZz2hYJnVO2gjRUnMWtdhaL3pCXGYsm/93Gdn6E8lpXcvznXGFGEk9PKkpkcj7U7TiiazFHLrqm21LTyhEtrTihG9pG1heo8C0RuC9PEghxclZaIwu5dMPiaLq7tMNOxzBYhP9giRJEiUCtLcVEPLCsLPFeftwrLobrgRVrLSLBVsim8BXOeyT2X2i6XnhSPh9bvwakG5S1Rm/ZW44E1u7y+B9DmWGaLEBEpEqiVpemyU9Z6vOUbhSrROFxaeeRQUj8pnINB8k3teSY3gPK2XGpirOv4k9sStWnvd3hw7W6v22LUscxAiIgA+L+Q2qtqZK3DV3N5pAUtWgd9WlTJpvCn9DyTW/DU13L1/5pGIyUx1m1KDV/d1CWV1XhgjfcgSGLEscxAiIhcfF1IWWFZnlB1A+o1RDrSuhsjmdxWxpG9MgMulxAThbd+OQhnvm/yety0OAW2V9Xg0Xf3yd4+PefvYyBERAEZlZBpFS1OgZe3HMaysoPtXlM7nUhbegyRNlPyKoWe3FbGVZ8fC7ico6EJUTab19niA82B5oue8/epnn2eiCILKyx7V1JZjaFLN3sNgoDgqnNLtKqS7Usoplgh9VqcAvaqGmysOAl7VY3q48YfuS0uy0q9H9dy1qe28nQwx7IabBEiItlYYdldoMkuJcHmPYSyRY6J2OaiV8uc3BaX85daVK0vmMrTlph0lYgil5RHdGvBlSjs3sWSN0ctnrjVXOiDyXsIVYuckXNVkTs9W+YCtTIq4a0FR03l6Sgb8N936N+6zBYhIoooWj1xq7nQB5v3EIoWOaPmqiJ3erfMtW1lDNaEftnttknN8fLy5P74aV/9u9jZIkREEUPLJ24lF/pgc3ja0rpFzqi5qsidES1zUitjaofYoNbz/p7qdq2qSo6X1MRYLL9zAH7aNyeo7VCLgRARRYRAT9yAsoRmpYGBWUfVhToRm+QxqmVubH42XrljQFDr8BagDeyWBpvMw/2l2/sbOtiCgRARRQStn7jl5lhkm3xUndRFAqDdvrA0gn6MbJkb3L1L0PlCngHal8fPQu4EXtuP1YRsdJwcDISIKCJo/cTtL4CQzC7qga3zRpo2CJKwNILxjGyZk3MsB+IZoClpuXrlkypMfn07hj2zxZBSDUyWJqKIEIonbl9ztFmxECFLIxjL6KKlPucbTI7HxctO1J+/pKiqvJqWKy2Kj6rB2ef94OzzROGjxSkw7JktAacJ8TZbtpx1M4AgLRhd4dvbsVy63+EaXeYtQPMWuLQ4BW58uhRn28xBJkcw52FbSu7fDIT8YCBEFF6kUWOA/As6kd7MGFj7C9B8tSQu/ttXeGPbMVWft3b64KAmXVVy/2bXGJFOzHhxizQ+m/8t2JVF4UvpLPJ68NV1WrrfgWHPbPEaIBX1zlIdCHHSVaIwY3RzN/3AqrkwDKTJaJ4Bmq8pZqRcn1fu6I+s5AQ4GpQHNXrWrWLXmB/sGiMt+LpYRGJ3jJVv5kZuOwNpMhsp585XSQop1+f2G7viD5sPyV6vETlCbBEiCiFOaPkDK9/Mjdz2QE/dkRRIa8HKwbiZyK3LdVlBbSCj6laxjhBRCHFCy1Z6TiapNSO3Xetq2JGupLIaw57Zgsmvb8esdRWG1q6xOvk5PPKPTaPqVjEQIgohTmhp7Zt5oG0XaN32bYfOBDWTvS8MpLWzaW817rNoMG5Gx86cl7Vc4TXpAatWpybG4q17BhlWfJRdYxGETcL644SWym7mZhspI2eG+er6i5jyRrnrv7XsMmMgrY1Ne7/Dg2t3e30t0rqotVBSWY0/lB0MuFxqh1jABjwx/nrMXLPbZ6HIpf/eB0N7pIdiU2VhIBQhrJyfYWVS2fxARfzCeUJLK9/M1Yx20TJ3h4F08Eoqq/HAGu9BkMTMwbjZ+Gsl9VR34RKm/Kkc2SkJmDE8D+/vqTZl2QoGQhGAyZbGMbpsvhlY+WZe+32T4vdo2cLAQDo40k1bLjMG42Yjp5XUU3X9Rfzxs6MoHtUDN+V2xpnGJlP1SjBHKMxZOT8jXET6hJZGTiYZrM5Jcarep1XuDmeGD47Sm7YZg3GzCSZY/MPmQ3hofQXiY6JQ2L2LaY5btgiFOSvnZ4QTqxbx04KVW8WyUjoE9X4tWhhYDVs9Jd+/WYNxswk2WHQ0NJmuJ4KBUJizcn5GuDFj2Xy9WPVmLrVmKe0KkGjVwhDJgXQwlHz/Zg3GzSZQd61cZkpOZyAU5qycn0HhxdfNHADsVTWmvMG3bc1SctEPRe5OJAfSasm5aUfZgJcnm6d1wuz8tfDKZbaeCAZCYY7JlmQm3uYqMvtoRl+tWWmJsTh7/pLluvsiiZyb9suT++Onfc1xrFmFr3MiygYoSTfddviMKR6AONeYH+Ey15g0agzwfsE2U18tRQ4zzsHmr9aWt9dK9ztMH8iRNQJuK/I8J8qP1CiaV6wtrX8PJfdvBkJ+hEsgBPBCQOYid8LGYCdeVELtORKqQqUsgKotfp+ht7HiJGatq1D1Xq0fgDjpKrXDZEsyE7ONZgxUa+uVOwYgLSnO67kTitwdPrhojzlWoSMFmYdOfa96HUZW+GYgFEF4ISCz0Hs0Y6Aur0C1th5cu8st9yGUQQkLoJKVeAva1TIqiZqBEBHpTsvRjIG6PAK1rsgpuueZAOotKNGi6yVQUMY5schMfAXtwdK7nAsDISLSnVajGQMFOXJaV5ouOxVvv2dQolXStNm6DIl8UTLnmFJ6l3PhFBtEpDstpo6QghzPwEEKcjbtrZY1vUx6x3hV+yAFJS9vOeR3O0oqq2WvkwVQySrUzDmW2iFw24sRFb4ZCBGRIYKZg01OXs8TGytlta5AwO9caIGs3HZMs7n8WACVrEJuMP7gT7rjhUkFeOuXg5AQGx1w+SfG619/i11jRGQYtaMZ5XQh1TQ2y9qGM41NQVXKrbtwye92KOnKYgFUsgq5wfjQa69AYfcusFfVwNHQFHD5NJUTHQeDLUJEZChpNOOtBVfKnpFay66hjE4JPlun/G2KDUBqYqyszyjd75C1HGebJ6uQgnZ/R2LnpFg4Gi62BkH1F2StV+65oiUWVPQjnAoqEoUTe1UNJr++PeBynZNicbbxkt/WlbZFGz1Hfp1tbMLMNbsBeK/KXlx0HZaVHZS1zcsVDHtnHSHSQqiLSPqatcCbjvEx+L7pcsB1doyPwZ6FtwS9nSyoSERhTW4X0hPjr8fMNbtlzwfmrdbWq1G2dkFJ1r+CktG9s7Bu54mASaNKh72zACoFo8Up8PKWw1i57ahb163WwbSvOce8kRMEScttP1KDodema7GJsrBFyA+2CBGZl9w59LRoXfH3ZF1SWY37/rUdgaydPpjD3imkSiqr8eh7+1B3vn3umpbTWLQ9J9KT4gEbcLrhIhZ/+DVqZebn+fLgT67Fw2N6BrUOtggRUdjz9TSa5RHkaNG64q8q+9j8bNwzNBdvbDsWcD0c9k6htGlvNR5Y4zsolx4YHvvrPozslYm4GHVpwr4eLibd1DXoIMh9S/XBQIiIAjLrhJVyg5xQTy9T1DtLViDEYe8UKpv2focH1+6WtWxt4yUMXrIZv/t5vuKWIX9FSpeVqZt53lPhNfp1iwEMhIgoALMn7pphDr1AOUsAkJUcz2HvFBIlldV4YI28IEhS29iseO46OfW7gpWaGIvBOp/PHD5PRD4Fqt6spGpyOPM37F1y8bLTkKHBFN6k4EQtJQU/1VSTVuqm3DTdW5sZCBGRV3Ke/pRcRMOdlLOU4qO2UP35SwweSXPBBCdtC37KoUeOW+n+09i0V99zhIEQEXmlZAJQajW6dxYSYrxPI8DgkUJBi1ZGuQGOXjluT2ys1PUcYSBERF5xAlDldhythaPBWsFji1PAXlWDjRUnYa+qYZBmISWV1VghI0k/ELkBjpxq0lqoaWzW9RxhsjQReSX34qh29vZgmHUUm9WCR7MnwpNvweYGSaJswNnGJtc6/Z1XUi6c2nn5lNDzHGEgRBTm1AYNckZCAcBDf6nAogk36HbjNPPN20qzx/sbBq10NBHpT6vEZacAZq7ZjRn/V4f391QHPK981e/SOjDS8xxhZWk/WFmarC7YoEHOXEJaVquVuz2e26LnNvjT4hQY9syWgFN/tJ3fzAjSdvq6kZplO8m3jRUnMWtdRcDl7hmai4HdOuPBtbugtNfT33nVfl6+Zr/FHJXonBSLnY+PDurYU3L/Zo4QUZjSYui79PSXmez76UyvJGArjGKzyuzxTIS3PrktJkW9s5CWFKc4CAL8n1dS/a5bC65EYfcu+GnfbCy/cwBSfYyaVOI3/5av6znCQIgoDGkZNIzNz8bzt/Xzu4weN06r3Lyl4DErxf1GlZWSYHiLlcRquUzUnpzEZamIZzC/o5Lzamx+Nr5cMBr/c/fNSIrzPnpSji6d9M07ZI4QURhSEjTIqcp85l/JlIE4Gi7CXlUTkiRmK928zT57vJVymcg7OYnLUhFPLX5HuedVdJQNP+p5BZ7/z34Bu9V9+ftX1bpWi2eLEFEY0jpokHshXfzBV5j8+nbMWleBya9vx7BntmhWQNBqN2/PrgOzBEFA4NYEG1pzyTgliLnJLeJ5trE56GHvSs+rQNvmz7u7TrKOEBEFR+ugQW79kNrGS27/3TYfKdh6Nbx5a8cquUwUmJwinos/3I8nxl8PwPcUML4Ee17Vnb8UeCEPDRcv69rFzUCIKAxpHTTIuXF6I12IH31vH4Yu3RJUa5HamzcLBnpnhVwmCkxuEc+0pHivv7c/wQTFwdY5Yh0hIgqKv/wBtRc3X/VDOifFoaax2ef7BKSnQu+tRUpuur62IctHSQAz1xwyA7PnMlFgSrrBby24EqN7Z+HlLYexrOxgwPf4Oq/kCLbOkZ5d3AyEiCzOV8FEX0FDZnI8Jt98NZouO2GvqlF04/N243TUX8Dsv+xRvN0CrUHZU3/bj9G9s4LaBm/7YMaCgWasiC3lMpE6Rv+marrB1+084XfZjvHR+NXIHsjoFI+UDnFocQrF+xRMi47eXdwMhIgsLFCLh2fQcOzMeazdcQLLyg55XV4OzxunvapG9fZLzfZvbjuK9E7xsm8kgW7egcoHqAnAgsXWqfBjht80UAV4qTimFFjIaan5vqkFSz76xvXfSvepxSlw5py8kabetlfv/DTmCBmAOQuRTavfX27BRCloiI+Jwh/KDrbLJ1BSYNEbLSZiXPzh15qONDNbzSEtiluScbyds2b5TaVucF9XEQH3wEJNS42SfSqprMawZ7Zg8YdfK/6cbIPy09gipDMzPEGQcbT6/ZW2eKhtIZHT7K/1RIxadF2ZqeaQGVunSD5v52xWcgIuXm6x5G+qJvdG7j756o4O5MGfXIuh16Yb1lXMFiEdmeUJgoyh5e+vtMVDTQuJ9GQnZ6SXzxFIyfFITYxV1FqkxXQZZqo5ZLbWKZLP5znbcNHvsHA9f9MWp8Cj7+3z+boUwEjnktoW3ED75C/gD6RHZkdDa22xRUgncqY8eOyv+3DhkhNZyeZIoiTtaN0qoLTFQ+nyahKNfSUxl+53KG4tUlr52pPSvIlQMlPrFMkXzI1dosdv+vKWw7KDMinYkFpw1fDcJ6nVeNvhM6pHiZ0516QqIVsrbBHSiZwEtdrGS5j9tvYVecl4WrcKKG3xULJ8MPOUeaum7Ku1SA61NxIzFQw0U+sUyRfs8G8g9L9pi1Ng5bajspbddvifrnNWOic7J8Up/sy2+9S21fjlTw4rXpdk8YdfG3rPYyCkE6UXdLndJUy8tgatWwWUFkxUsnwounLG5mdj67yRWDt9MF6YVOCqchtI24uu0mPdLAUDWRHbmoJpzdHrN91xtBZ1F+RVbn75kyq3YGNsfja2zx+FzknypsDw3Cdf3YZqVRuYIqIoEMrNzYXNZmv3b+bMma5l7HY7Ro4ciaSkJCQnJ2P48OG4cOFCu3U1NTWhoKAANpsNFRUVrr8fO3bM62ds377d7f3r169Hr169kJCQgD59+mDTpk1urwsh8OSTTyI7OxsdOnRAUVERDh06BKMofTKQkyehJIeDjKV1q4DSFg8ly4eqK6dta9HUoXmKggO1x7pnALZ2+mBsnTdS14EJZmqdIvnUtubo+ZsG+4AdFxOF3/28D2zwXyHec5+06Db0RiC43EC1FAVCO3fuRHV1tetfaWkpAOC2224D0BoEjR07Frfccgt27NiBnTt34sEHH0RUVPuPeeSRR5CTk+Pzs8rKytw+a+DAga7XPv/8c0yePBn33HMPdu/ejYkTJ2LixImorKx0LfPss8/ixRdfxPLly1FeXo6kpCSMGTMGFy8a0w+vJkHN35M3E6+tJRStAkpbPOQur0dXjpLgINhj3QyTn5qldYrkk3POpiXGIis53u3vev6mWjxgy+m69twnLboNfTFi4IBNCKE69CouLsYHH3yAQ4cOwWazYfDgwRg9ejQWL17s930fffQR5syZg3fffRc33HADdu/ejYKCAgCtLUJ5eXluf/N0++23o7GxER988IHrb4MHD0ZBQQGWL18OIQRycnLw0EMP4eGHHwYA1NfXIzMzE2+++SYmTZoka/8aGhqQkpKC+vp6JCcny3qPP9IFHVA2xPiFSQW4teBK13+3OAWGPbPF54EoJYJunTeST5km4uv3l34htRdPpZVtAy0vHV+BEo21OL4ClRMIt2Pd6CrEpIycc9bIKUoCnav+rJ0+2G0gQttjM71jPCCAM41NXvdpY8VJzFpXoc1OeOF5z1NDyf1b9aix5uZmrF69GnPmzIHNZsPp06dRXl6OKVOmYMiQIaiqqkKvXr3w29/+FsOGDXO979SpU5g+fTo2bNiAxMREn+ufMGECLl68iOuuuw6PPPIIJkyY4HrNbrdjzpw5bsuPGTMGGzZsAAAcPXoUDocDRUVFrtdTUlIwaNAg2O12n4FQU1MTmpp+qIbZ0NCg6DsJxNeUB4F4Rv1KcjhYOt88lM6TJZfSKRICLR+Kecp8CTRdRrgd65zOwlr8za93a0EOUjq0Jhsb9ZsGU8PLs1tNybEZ6iRwvQcOqA6ENmzYgLq6OkydOhUAcOTIEQDAokWL8Pvf/x4FBQX485//jFGjRqGyshI9evSAEAJTp07FfffdhxtvvBHHjh1rt96OHTvi+eefx9ChQxEVFYV3330XEydOxIYNG1zBkMPhQGZmptv7MjMz4XA4XK9Lf/O1jDdLlizBU089per7kKvthd9RfwGLP/waZxubFQ3x5XBc67LKJJehCtq88XcB5rFORmt7zpbtd+CvFSdR09iMFduOYcW2Y4YXxNXqAVuJQOUpgmEDMLBbmsZr9U91IPTGG29g3Lhxrjwfp9MJALj33ntx9913AwD69++PzZs3Y8WKFViyZAleeuklnDt3DvPnz/e53vT0dLfWnptuugnfffcdnnvuObdWoVCYP3++22c3NDSga9eumn9O2wt/h7hoxU/eHI5rbVZpFTBD0MZjncwgOsqG+gutwY+ZJvGVaPGArdSkm66WNYO9UgLAl8fP6nqNVBUIHT9+HGVlZXjvvfdcf8vObj0Aevfu7bbs9ddfjxMnWme63bJlC+x2O+Lj3ZPLbrzxRkyZMgWrVq3y+nmDBg1yJWYDQFZWFk6dOuW2zKlTp5CVleV6XfqbtF3Sf/vKOwKA+Pj4dtsWamqevM1ULI7Cm9FBG491MgMjpkmRk8vn+XowD9hyecvrayu1Q6zsIf2+6N3CqyoQWrlyJTIyMjB+/HjX33Jzc5GTk4MDBw64LXvw4EGMGzcOAPDiiy/i6aefdr323XffYcyYMXj77bcxaNAgn59XUVHhFtAUFhZi8+bNKC4udv2ttLQUhYWFAIC8vDxkZWVh8+bNrsCnoaEB5eXluP/++9XsckgpffLWM4eDyEg81skM9M5VCzSIINDroeraDjSX2OyiHrgxtzOm/Klc1folps8RcjqdWLlyJe666y7ExPzwdpvNhrlz52LhwoXo168fCgoKsGrVKnzzzTd45513AABXX32127o6duwIAOjevTuuuuoqAMCqVasQFxeH/v37AwDee+89rFixAn/6059c75s1axZGjBiB559/HuPHj8e6devwxRdf4LXXXnNtS3FxMZ5++mn06NEDeXl5eOKJJ5CTk4OJEycq3WVdKH3y1jOHg8hIPNapLSNG3umZqxZoepsZw/Pw2mdHA3bRad21Lad20Cr7MVyVlojOSXE+u+YCMaK4qOJAqKysDCdOnMC0adPavVZcXIyLFy9i9uzZqK2tRb9+/VBaWoru3bsr+ozFixfj+PHjiImJQa9evfD222/jP/7jP1yvDxkyBGvWrMGCBQvw2GOPoUePHtiwYQPy8/NdyzzyyCNobGzEjBkzUFdXh2HDhqGkpAQJCeGTS2CGHA4iPfBYJyBwS0mo6JWrJmd6m9f/0T4Ikl737KLz94CttOvNKYSsaaIeWr9Hzq769MT463U/r4OqIxTutK4jRERE6vhqKQm2DpccWtXWChR82KtqMPn17T7fL5dnjSBP/gLK0b2z8PKWQ1i57Zhbro8WuT9yBNp2uXSpI0RERKQHI5KV29IiV01Oa5ZWScL+1uOv6+2+1buQGBeN880t7d6nNgjqGB+N75var88XI0phcNJVIiKNcTJkbYViImClgpkmRe40MVolCftaj5yuN29BUDC+b2rBoDz5dYGMKIXBFiGLY8l+InMxKo8lnJmlsKaaXDUlrVlyChVG2QAhvFeRDlROIpRzhPmz76S8WRpsAM42Nod2Y7xgIGRhvOASmUugET+cYFUdMxXWVDrCV+nQ+0BdcNN/1DpqTE0XnVEV2OW2MgkAM9fswqtR+p4n7BqzKM4+TxR6Srq45HQ7tJ31O9TbE07kzARvxLBrOeQGHx9VVsNeVYPRvbP8dsHN/2lv1V10VqnAHux5ohRbhCzI6MRBokigtMU11EX3IrkF2MqFNeUGH3+2H8ef7cddv+nWeSN9dsGpLScRyjnCtGLERMpsEbIgMyQOEoUzNS2uocxjYQtwcMnKRgrUmuVJ+k1L9ztQ2L0Lbi24EoXdu7QLcqQuup/1bZ3v84O93wVsJZQCSgCyt8coenbjsUXIgsySOEjmwIR5baltcQ1VHgtbgH9gxcKa/lqzvFHym6ppJfRVqT0tMRZnz1+StY160LMbj4GQBZkpcZCMFUndJXoFfGq7uEI1Qaze81yZndETAavhK/jwRc5vGkxivq+AsnS/o902pibG4u4heeiRkYTHNlSi7nxoiyoaMZEyAyEL4ozcBETWCCU9Az61La6hymNhC3B4aBt8fFRZjT/bjwd8j6/fVItWQm8BZaAWtzH52dh+pAb2qhoAAjFRUVi381s4GrQ79gT0z/dijpAF+evnNXviIGlDjxFKZqF3fkwwLa6hyGNhC3D4kIKPcTKPA8/fVBo1uKz0QMjyRKVt9JabFB1lw9Br0/HwmJ54eEwvFI++DtseHYm37hmExLhoxZ9lFmwRsijOyB3ZIqW7xIj8mGBbXLXOY2ELcPhR85t6axUNRI9WwugoGwZ37wKtnruNyHljIGRhVkwcJG1ESneJEQGfFl1cWuaxWHnouD+RnOSv9Df11Q0eiF6thDuO1iqaT8wfIx7iGAhZnBUTByl4kdJdYlTAZ7YWV7NtT7AiKcnfF7m/qb9WUV/0biUMxQMXh88TkV+R0l1iZMBnthZXs22PJ7ktPJGU5B+InN9U6fxgRrQShuL84/B5IvIrXLtLPBkd8JmtxdVs2yOR28LDmkjtBfpNlbaMGNFKKJ2nWkzoasRDHEeNEVmUVSvtKsERkuanZFQfq+IrJ7dl5MGfXIu10wdj67yRup/70nka7Flo1DnNFiEiCzN7d4kWwi0/JpwobeGJlCR/LcltFZ09+jpDz3ulRSO9SYqPwe9v66v7Oc1AiMjizNpdIofcvJJICPisSOmovkhJ8pdLzvFvpW7wtuepo/4CFn/4Nc42NstO9I62AaN7Z4V0G71hIEREhlA6csjKAV+4UtrCY3TOl5koOf6t1CoaHWXDzXmdseNoLW7tl4OVnx+T/d76i5cNqX3GQIiIdMeRQ+FBaQuPlVo3QknN8W+VVtFNe6uxYGMlahubVb3fiG5RJksTka4iaXqQcCe18Pi6FdvQ2srRtoUnEpL8/Qnm+Pc3/YW0bntVDTZWnIS9qiYk55C/z1iyaT8eWLNLdRAEAMfONGqxmYqwRYiIdBUp04NEArUtPFZp3QiFUB3/ehSp9PcZTqfAHz87GvRnLCs7hJ5ZnXQNiNkiRES64sih8KK2hSdQ60a4CsXxr8fExIE+Y+67e4P+DOCHkYZ6tgizRYiIdMWRQ+Enklt4lNL6+NejSKWc7rxGzjVGRCQPRw6FJ47qk0fr41+Prmal03xoQc8WYXaNhQE9EuSItMJq0RTJtD7+Q93V3OIU2Hr4n6reGwzONUaycRZnsiIr1UUh0pqWx38ou5pLKqsx7929qL9wWfF7g+E50jDUbEIINh/40NDQgJSUFNTX1yM5OdnozWnHVy0K6TkiEoaikrXJrSxNFGpGHItafGaLU2DYM1sCdrVtnTdS0bpLKqtx3+pdirZFK8s1uHcpuX+zRciiOItz+Iqk4CBQXkkkfRd64vfqzqiWdS3yqrQqUtn2mEhPisej7+4LarvU+knPKzjXGMnDWizhiV2dP+B3ERr8Xt2FQ5XzYLvavB0TRvnkwD9RUlmt63fOrjE/zNw1trHiJGatqwi43AuTCnBrwZWh3yAKGrs6f8DvIjT4vbqTupV8BQBqu5WMoqalz9cxYaRsDb5zJfdvjhqzKNZiCS+cduIH4fxdGDnCM5y/V7WUtKwbQenxorRIpb9jwkh6f+fsGrMo1mIJL0Z3dZopZ8To7yJUjO6SCtfvNRhmrnKux/FiRH0gufT8zhkIWRRncQ4vRl6Qjb5BezLzzUktM+ShhOP3GiyztqwHOl5euaM/0pLig35wMfNvnd4xXrfPYiBkYazFEj6MuiCb4Qbtyaw3J7XMMsIz3L5XLZixZV1OF+aDa3ejbS+Z2gcXU//WOvbXMRCyOM7xEx6MuCAbfYP21R0X6LsA9C+4FgyzdEmZ8aZvtLYt694IABP6Zet6PZXTXeWZKqT2wUXOuWaUM41Nun0Wk6XDQKTO4hxOjJh2wshE0ZLKagx7Zgsmv74ds9ZVYPLr2zHsmS0oqax2+y580fvmFAyzdElxahPvxuZnY8bwPJ+vv/bZUU1mb5dLzXEg/vXv8b9WovmyU/b7/B0TRtOztYqBEJFJSF2dWSnuF4CslISQdFEZdYOWuuM8gzDpqVaqIWKmm1MwzNQlpfcxZgUtToH39/g/lvQcTRfMcVDT2IzBS8oUnRu+jgkjdUmK07Vlkl1jRCaiZ1enETdoud1xI3tlyro5WaFyutm6pNid7s4sXZeSYLurahsvKe4ma3tMbDv8T7z8SZWKT9bO4lvzdT0e2SJEZDJ6dXVKF1xfa7dB+1wcuTed/7EfM3V9FyW07JLSqg5ROHenK/2OzNJ1KdGqu0ppK5Z0TPTI7BTEp2ojSufIhC1CRBHKiBIMcm8mnx78p6brM5oWIzzNVubAjNR8R2bqupT4Ol6ibO0Tpb0JphXL6JFkRsyTyUCIKILpXYJB7kX2H4fOaLo+MwimS8qMZQ7MRu13ZLauS4m34+VsYzNmrpE/HYbng4LnxKqwAWe+b1I8ajOUjCjsyUCIKMLpmTOi1UXW383JTFWyPamZbdzoMgdWEMx3ZObitN6Ol1ejBuCxv1aitrE54PvbPigEmli1bcuZr+9DT3q29jJHiIh0yxnRIv/B383J37B8qzL7fFhmEOx3ZKXRdGPzs7F9/ih0Tor1uYxnfp+vkZpteY7aNHokmZ6tvWwRIiJd+eqOk8tXt124dh+ZLZnXjLT4jqw0mi4uJgq/+3kfVyFIf61YcidW9Ww58/w+0jvGA6K10OGxM41Yu+MEHA0/FD2Um78kR2qHWA6fJ6Lw1vYi+1FlNf5sPx7wPf9fYTeMuSHLdTG2V9W4blTh3H1kxmRes9HqO1LTdSlR0yUbTDeu3Pw+JROreubn+Ps+HhzZw23bB3ZLw5fHz2LroX/ilU+DG35/99BcXc9TBkJEZIi2F1k5gVCXpDg8vH6P1xFBKR3iTFULRktmTeY1E6O/IzWj1bQYBSinFUtNS6Gc93gLkuovNOPdXScVf15bNhtw/4+vDWodSjFHiIgMJaeeUVpiLJaVHfJZjbpsv0PWZ1mx+4hTYwRm5Hckp1K6Fu/xJVB+n5qWQjXvkfbJ0RDcOSYE8OXxs0GtQykGQkRkKDk3MV+pB9Lf/1oh7ynUqt1HVkrmNYoR35GcmeI9CxuqeU8wAj1oeOqSFIeB3dIUfYbcPCS59H5gYdcYERnOX77DpJuuxrKygz7fK9A6rUDnpDicbWwO2+4jKyXzGkXv70jN9Bx6T+khPWjc96/E6kBqGptx82/LcPfQXDw4soes705JHpIcej+wMBAiUzBz7RfSh6+b2Ad7v5P1/okFOVi57ZjpasFoKZhk3kih53ekZrSaFUYB1l24hGVlh7Dy82NY+u99XK1pvq7TWm6r1tP6yMFAiAzHqQOsJZRBq7ebmNynw9G9s3BzXmfdqmR7w4A+sqgZrab3KECp20qNuvM/TOAKwOd1WssWHCMeWBgImUgkXkTDtfZLuDIiaFUyIig6ymZY9xED+sijZrSa3iPcgu22EgDmv7cPZ89faveadJ1+5Y7+yE5J0LR7TE9MljYJLSriajUztV70Thqk4Gg50kUJpSOCjJhZ3ajvhoylZrSa3iPctOi28hYEAT9cpxd/+DWeGN876M8BjLnmMxAyAS0uolacWoBTB8hjhgDX6KDVzKOmjP5uyFhqjk09j+dQJx5L1+lDp79HUnx00Osz4prPrjGDaVER16rdS1ZIGjSaWbpb9B7p4o1ZR02Z4bsJtUjstldCzbGp1/F8c15nZCXHu02HEQr+RnYqxeHzESbYi6iVpxbg1AH+mSnANUvQasZRU2b5bkLFLMG42ak5NvU4nqOjbJh889VYVnYopJ+jJb2v+ewaM1iwF1Erdy/JqShsxFBKMwimuyUUXWkMWn1LT4rXdDkzYe6TeSk5z3PTk3TcMvWMuuazRchgwd5grPw0KiUN3r96V1jXflFDbUuh0qd3uV0eRs/lZGZOITPQtNhhbOXW5nCn9Dy30gOKEdd8tggZLNhWEas/qZs5CdZIagJcpU/vShLsOd+VdyWV1fjV2t2ylj3zfWhzNLRm5dbmcObvPL9v9S68UHbQrZWoxSngdAqkdog1aIvlSYqLMuyazxYhgwXbKhIOT+pmTYI1ktIAV+nTu5r8I3/TYERivoiv79AXsz6M+GLl1ma5rJYELqfLvG0uUGpia/BT52P4u1Y6xsfg+6bLQa2jsdmp0dYox0DIBIK5wYRL95IZk2CNpDTAVfL0LlVfVtPlwaC1lZJJJq3wMOKN1VubA7FiErjS4oihDoCkY/tCc3BBkOTR9/YZ0tXKrjGTGJufja3zRmLt9MF4YVIB1k4fjK3zRso6Idm9FH6UdkUpeXoPtsvDiIKFZqP0hmSFhxFP4TyYwapJ4GZqfZOOi0k3XY26C9oEQnXnL+HlLYc1WZcSbBEykWBaRfikHn6UtBQqeXqPhC6PUJP73aQmxrpNWmkl4dLa7EluN3Kn+FicaWwy1bXUTK1v0nWo6bK2XVqvfVaFB0deq+v3zUAojLB7KfzIDXCVdKXJTW4N9qJrtfwLJeR+N69MHoChPdJDvDWhE455YXJbRKe8Ue76m1m6zAKd56EkBcPj8jPR/YpOKOzeBYOv6aJ5snxjcwu2H6nB0Gv1O28YCEWYcL45hSs5Aa6Sp3c9EuytmH+hhNzvcHAYPJiEW2uzmpZOX4MI9L6e+jvPQy3lX4nXH1WeAnAKL39yGNkpCXhifG/NJ1y1V+kbCNmEkFsEI/I0NDQgJSUF9fX1SE5ONnpzghbuNyezMDLYlPsbSzkSgPegKZjcMl+jqbRYt5mE8juk0LFX1WDy69sVv08KbrfOG+kaeWnU9dTbZ2stLTEWL07qj9rzzTh25jz+UHbQ5zk9Y3ge/vjZUc0+e1x+Jl6988ag1qHk/s1AyI9wCoQi5eZkNDMEm3IDsVBsa4tTYNgzW3xeoD1vJlZnht+blJGOUbXdS2unD0b9hWbDr6dtz3MpUAG0ayVa/q99kHtOPz6uF379dgW0mFu4c2Isdi4YHdQ1Qsn9W9GosdzcXNhstnb/Zs6c6VrGbrdj5MiRSEpKQnJyMoYPH44LFy60W1dTUxMKCgpgs9lQUVHh9trevXvxox/9CAkJCejatSueffbZdu9fv349evXqhYSEBPTp0webNm1ye10IgSeffBLZ2dno0KEDioqKcOiQdeZa0RJnx9aHWUaiyB3VFcxIRV8irQhfKL7DYIViipVw4m9EphyO+gumuJ62Pc9nFfXwOnI4LTEWiXHqZoTffeIsAPnndJdOCXh58gBVn+Wp9vwlXa8RinKEdu7ciZaWFtd/V1ZWYvTo0bjtttsAtAZBY8eOxfz58/HSSy8hJiYGe/bsQVRU+3jrkUceQU5ODvbs2eP294aGBtxyyy0oKirC8uXLsW/fPkybNg2pqamYMWMGAODzzz/H5MmTsWTJEvzsZz/DmjVrMHHiROzatQv5+fkAgGeffRYvvvgiVq1ahby8PDzxxBMYM2YM9u/fj4QE82Te6yESZsc2mlWnI9A6wT4SR6SZaZACW6jk8ZUELkdtY7Mpr6e+crm2H6nBlD+VB16Bhz9+dhT9rkrDJae8UWGnz11EfEwUUhNjvdYv6hgfDSGE7MKJel4jFAVCV1xxhdt/L126FN27d8eIESMAALNnz8avf/1rPProo65levbs2W49H330Ef7+97/j3XffxUcffeT22ltvvYXm5masWLECcXFxuOGGG1BRUYH/+q//cgVCL7zwAsaOHYu5c+cCABYvXozS0lK8/PLLWL58OYQQ+MMf/oAFCxbg1ltvBQD8+c9/RmZmJjZs2IBJkyYp2W3Li8Sbk94YbLYK9yJ8ZqamWngk8wwc0jvG46G/VOBUQ5PfBPjOHeVNnmvE9dRbUD74mi6qR5o9sbESL07uL2tZX3lEku+bWny84p2e1wjVBRWbm5uxevVqTJs2DTabDadPn0Z5eTkyMjIwZMgQZGZmYsSIEdi6davb+06dOoXp06fjf/7nf5CYmNhuvXa7HcOHD0dcXJzrb2PGjMGBAwdw9uxZ1zJFRUVu7xszZgzsdjsA4OjRo3A4HG7LpKSkYNCgQa5lvGlqakJDQ4Pbv3DAm1PoMdhsFc5F+MyM3d/qtO1eGnptOhZNuAGA/yKmWcnWup4G0xVY09gMCAQ8pzM7xWGV/Zhm+UlRNmBgtzSN1ibj89S+ccOGDairq8PUqVMBAEeOHAEALFq0CNOnT0dJSQkGDBiAUaNGuXJzhBCYOnUq7rvvPtx4o/eMcIfDgczMTLe/Sf/tcDj8LtP29bbv87aMN0uWLEFKSorrX9euXQN+D1bAm1PoMdhsxclZjRGK3KxIzDWSU6XfitdTX/slx5nGJr/ntADwfXMLahubg95OiVMAXx4/q9n6AlFdR+iNN97AuHHjkJOTAwBw/qsf8d5778Xdd98NAOjfvz82b96MFStWYMmSJXjppZdw7tw5zJ8/X4NN1978+fMxZ84c1383NDSERTAkt8YM0Dq0NBxqhegtHCa/1Uo4FuEzO61bJCM51yhQ3SSrVtxuu1+Ohot4cuM+nLsYuLsqo1MCCrt38XpOp/wrH6hRYbeXHKbNEZIcP34cZWVleO+991x/y85uPTl69+7ttuz111+PEydOAAC2bNkCu92O+Hj3PtYbb7wRU6ZMwapVq5CVlYVTp065vS79d1ZWlut/vS3T9nXpb9J2Sf9dUFDgc7/i4+PbbVu4CHRzAtBuiGSkXPi0YNWLY6iEWxE+s9OyRZK5RoET4M0Q7KupV9Z2v+KjbXhgzW6/y7dt2WqXU5UUj4fW7wEQmold9Ww9VxUIrVy5EhkZGRg/frzrb7m5ucjJycGBAwfclj148CDGjRsHAHjxxRfx9NNPu1777rvvMGbMGLz99tsYNGgQAKCwsBCPP/44Ll26hNjY1kqWpaWl6NmzJ9LS0lzLbN68GcXFxa51lZaWorCwEACQl5eHrKwsbN682RX4NDQ0oLy8HPfff7+aXQ4Lvm5OpfsdEX/h04IZLo5mYqbRVOFOqxZJq45+NIKRwb4WLXY/7ZuD0RUnUbr/tM9lftbX/Xdue07bq2rgaAhNq02XpDhdW88VB0JOpxMrV67EXXfdhZiYH95us9kwd+5cLFy4EP369UNBQQFWrVqFb775Bu+88w4A4Oqrr3ZbV8eOHQEA3bt3x1VXXQUAuOOOO/DUU0/hnnvuwbx581BZWYkXXngBy5Ytc71v1qxZGDFiBJ5//nmMHz8e69atwxdffIHXXnvNtS3FxcV4+umn0aNHD9fw+ZycHEycOFHpLocVz5sTL3zaYksIGUGrFkmOflTGiGBfqxa7FqdA5Un/A4Le2HoM/bt2xk/7tl9fKLuuFt+ab+5JV8vKynDixAlMmzat3WvFxcW4ePEiZs+ejdraWvTr1w+lpaXo3r277PWnpKTg73//O2bOnImBAwciPT0dTz75pGvoPAAMGTIEa9aswYIFC/DYY4+hR48e2LBhg6uGENBap6ixsREzZsxAXV0dhg0bhpKSkoirIRQIL3zaY0sISfScbkWLFkmOfgwNrY4DLR9cA137gdak5QfW7MLyqPbBVai6rkb3zvAaeIUSp9jwI5ym2PBlY8VJzFpXEXC5FyYV4NaCK0O/QUQyKLmxGDX3m1EJx8Hsr9x5uNZOH8xgXyYtjwMtfx+5136gdXvbTovT4hTYXlWDmWt2oe6CtjlCNmgzRYmS+zdnn49wHPZNVqPkxmJUMGLVhGOOftSW1seBli12Sq7pbXsF9JjwVe90DNV1hCg8WLEmBkUuJfO5GTX3m5HFDUsqqzHsmS2Y/Pp2zFpXgcmvb8ewZ7bI3lfWgdJOKI4DLR9cpWu/XKfPXfR5TmnJiPkIGQhFOF74yCqU3FiMDEaMmnhWq8BPTlFBCiwUx4GWD65tr/1ypHeM93lOhYLp6whReOGwb7ICpTcWowYBGJFwrPXoT45+DF4ojgOt65WNzc/Gf9/RHw+u3Q1fzwRSdyiE/3NKa6avI0Thhxc+MrtQ3FhC8dRpRN5dKEZ/cvRjcEJ1HGj94PrTvjl4GTY8sGZXu9faBldnGpsUrVctI/LQGAiRCy98FIhRI7CA0NxYzpxrQotTaLoPRiQcc9i7+Sg9DpScW1o/uP60bzaWR/kPruxVNarWrZSA/ukYDISISBaj559SemPxt6xk8Ydf409bj2q6D227L7wRACb0y9b0Qs/Rn+ajpBtLzbml9YNroOBKOv/06B5z6jzBL5OliSggo0ZgtaUksd/fsp5CsQ9j87MxY3iez9df++yopp/H0Z/mJCfx3AznlkQKrm4tuBKF3bu0m17jifHyk6uDsWBjZUgGMvjCQIiI/DJyBJYnJSOafC3rKRT70OIUeH+P/xuYlp/H0Z/mNTY/G1vnjcTa6YPxwqQCrJ0+GFvnjcTY/GxTnVtypCXF6fI5tY2XdB0+z64xIvJLbiLum9uOYurQvJDfbJXkR0jLvrntKBZ/+LXPdWo9isyIqWs4+tO8fHVjWW2KIz1zzDh8nohMQ+4FKRT5Nr4oyY+IjrIhvVO8rGW1uvgalbzM0Z/WYrUkdz1zzPT8LHaNEZFfSi5IRuQ1yKF3MrGRycv+8jzIXKyW5B4oF00reuezMRAiIr+UXPzMmNcA6JtM3OIUcAqB1A6xPpdh8rI1tDgF7FU12FhxEvaqGs2PaasluSsZhCBRGjTZoH8+GwMhIvJL6cXPiLmCAtErmVia62vKn8p9zsrN5GVrCHbeNjmsmOTuaxBCamIsEuOi2y2fGB+NhBh5oUZaYowh07jYhBDmeWwzmYaGBqSkpKC+vh7JyclGbw5poG3RsvSO8YAAzjQ2MZdCBqWzTr8wqQC3FlwZ4q1SJpS1kHzNNO5Jz9pLpI6v31K6Omh9sza6Rpcaba+lx86cxx/KDgY1D1lCTBT2LhqDOJlBUyBK7t8MhPyI1EDIyOrBoRToRm72C48ZtDhFwBFYkrXTB5tipIunUBzfLU6BYc9s8RskpibG4pXJAzCYeTumFui3lAp3bp03UtPfUavjUu/rt5xjX67lGgaYSu7fHDVGbqz4ZCKHnKd1KdGXM2z7Fh1lw9ShefjT1qO6TiGhpVBMJRNoGDQA1J2/hKh/FXsk8zJqSLsWx6UR1285x75cSiYG1hJzhMjFTBVOteSvaFlbZk30NRsr5jWEmtWGQZNvVv0tg71+q00M1/J7MCq3kIEQATBX9WCtKXliMWOirxkpqfBsFqEcAWS1YdDkmxV/y2Cv38Ekhmv9PZTud2i6PjnYNUYArFfhVAk1Tyxme9ozIysV7wt1l4ERM85TaFjxtwzm+u0rbUBuqoDWk7FurPgOj4/n8HkygFWbg+VQ88Ripqc9M7NC8T49unzZXRg+rPhbqr1+a9ETEB1lw4R+2rUA1zQ2694iz0CIAFizOVguJQUBzVbAjIKjZ5evFbsLyTur/ZZqr99KWpJ8kTPBsFJ6P3Cza4wAWLM5WC7pCe/+1btgA3wmTZv1aY/U07vL10rdheSflX5LtddvLXoCtBw1JtH7gZstQgTAms3BSvh6wmvLrE97pJ4RXb5W6C4keazyW6q9fmvRE6DluWNUizxbhMhFChY8k0qzwqCOEND+CY+VpcNfOHf5ErWl5vqtRU+AVueOkQ/cDITIjZWag9UIRTE9Mq9w7vIl8qT0+u0vbUBuYBLoHJPLyAduTrHhR6ROsUEUTqRRY4D3Cz27QynSBVtewtc55osUdM0u6oHc9KSQPHBzrjGNMBAiCg/hOnUMkVaCnaPM1zk2oV823t9Trfu5x0BIIwyEiMJHuE4mTGQWvs4xI849TrpKROSB+WFEoeXrHDP7ucfh80RERBSxGAgRERFRxGIgRERERBGLgRARERFFLAZCREREFLEYCBEREVHEYiBEREREEYuBEBEREUUsBkJEREQUsVhZ2g9p9pGGhgaDt4SIiIjkku7bcmYRYyDkx7lz5wAAXbt2NXhLiIiISKlz584hJSXF7zKcdNUPp9OJ7777Dp06dYLNpt/kjA0NDejatSu+/fbbiJrslfsdWfsNRO6+c7+535HAyP0WQuDcuXPIyclBVJT/LCC2CPkRFRWFq666yrDPT05OjqiTRsL9jjyRuu/c78jC/dZXoJYgCZOliYiIKGIxECIiIqKIxUDIhOLj47Fw4ULEx8cbvSm64n5H1n4Dkbvv3G/udySwyn4zWZqIiIgiFluEiIiIKGIxECIiIqKIxUCIiIiIIhYDISIiIopYDIQ0sHTpUthsNhQXF7v+dvHiRcycORNdunRBx44d8Ytf/AKnTp1ye9+JEycwfvx4JCYmIiMjA3PnzsXly5fdlvn0008xYMAAxMfH49prr8Wbb77Z7vNfeeUV5ObmIiEhAYMGDcKOHTvcXpezLVrt949//GPYbDa3f/fdd5+l93vRokXt9qlXr16KPsdq+yxnv8Pxt5acPHkSd955J7p06YIOHTqgT58++OKLL1yvCyHw5JNPIjs7Gx06dEBRUREOHTrkto7a2lpMmTIFycnJSE1NxT333IPvv//ebZm9e/fiRz/6ERISEtC1a1c8++yz7bZl/fr16NWrFxISEtCnTx9s2rTJ7XU526LVfk+dOrXdbz527FjL73dubm67/bLZbJg5cyaA8D3HA+13OJ/jbgQFZceOHSI3N1f07dtXzJo1y/X3++67T3Tt2lVs3rxZfPHFF2Lw4MFiyJAhrtcvX74s8vPzRVFRkdi9e7fYtGmTSE9PF/Pnz3ctc+TIEZGYmCjmzJkj9u/fL1566SURHR0tSkpKXMusW7dOxMXFiRUrVoivvvpKTJ8+XaSmpopTp07J3hYt93vEiBFi+vTporq62vWvvr7e0vu9cOFCccMNN7jt0z//+U/Zn2PFfZaz3+H4WwshRG1trejWrZuYOnWqKC8vF0eOHBEff/yxOHz4sGuZpUuXipSUFLFhwwaxZ88eMWHCBJGXlycuXLjgWmbs2LGiX79+Yvv27eIf//iHuPbaa8XkyZNdr9fX14vMzEwxZcoUUVlZKdauXSs6dOgg/vjHP7qW2bZtm4iOjhbPPvus2L9/v1iwYIGIjY0V+/btU7QtWu33XXfdJcaOHev2m9fW1rqtx2r7LYQQp0+fdtun0tJSAUB88sknQojwPccD7Xe4nuOeGAgF4dy5c6JHjx6itLRUjBgxwhUQ1NXVidjYWLF+/XrXsl9//bUAIOx2uxBCiE2bNomoqCjhcDhcy7z66qsiOTlZNDU1CSGEeOSRR8QNN9zg9pm33367GDNmjOu/b775ZjFz5kzXf7e0tIicnByxZMkS2dui1X4LIdr9tycr7vfChQtFv379vL4Wzr+1v/0WIjx/ayGEmDdvnhg2bJjP151Op8jKyhLPPfec6291dXUiPj5erF27VgghxP79+wUAsXPnTtcyH330kbDZbOLkyZNCCCH++7//W6Slpbm+C+mze/bs6frv//zP/xTjx493+/xBgwaJe++9V/a2aLXfQrQGQrfeeqvP1624397MmjVLdO/eXTidzrA+x/3ttxDhe457YtdYEGbOnInx48ejqKjI7e9ffvklLl265Pb3Xr164eqrr4bdbgcA2O129OnTB5mZma5lxowZg4aGBnz11VeuZTzXPWbMGNc6mpub8eWXX7otExUVhaKiItcycrZFq/2WvPXWW0hPT0d+fj7mz5+P8+fPu16z6n4fOnQIOTk5uOaaazBlyhScOHFC9udYdZ/97bckHH/r999/HzfeeCNuu+02ZGRkoH///nj99dddrx89ehQOh8Pt81JSUjBo0CC33zw1NRU33nija5mioiJERUWhvLzctczw4cMRFxfntu8HDhzA2bNnZX0/crZFq/2WfPrpp8jIyEDPnj1x//33o6amxvWaFffbU3NzM1avXo1p06bBZrOF/Tnua78l4XiOe+KkqyqtW7cOu3btws6dO9u95nA4EBcXh9TUVLe/Z2ZmwuFwuJZpe/BIr0uv+VumoaEBFy5cwNmzZ9HS0uJ1mW+++Ub2tijhb78B4I477kC3bt2Qk5ODvXv3Yt68eThw4ADee+89y+73oEGD8Oabb6Jnz56orq7GU089hR/96EeorKwM69/a33536tQpLH9rADhy5AheffVVzJkzB4899hh27tyJX//614iLi8Ndd93lWqe3bWq7XxkZGW6vx8TEoHPnzm7L5OXltVuH9FpaWprP76ftOgJti1b7DQBjx47Fv//7vyMvLw9VVVV47LHHMG7cONjtdkRHR1tyvz1t2LABdXV1mDp1quuzwvUcb8tzv4HwvJ57w0BIhW+//RazZs1CaWkpEhISjN4c3cjZ7xkzZrj+f58+fZCdnY1Ro0ahqqoK3bt312tTNTVu3DjX/+/bty8GDRqEbt264S9/+Qs6dOhg4JaFlr/9vueee8LytwYAp9OJG2+8Eb/73e8AAP3790dlZSWWL1/uCgjCkZz9njRpkmv5Pn36oG/fvujevTs+/fRTjBo1ypDt1tobb7yBcePGIScnx+hN0ZW3/Q7Xc9wTu8ZU+PLLL3H69GkMGDAAMTExiImJwf/+7//ixRdfRExMDDIzM9Hc3Iy6ujq39506dQpZWVkAgKysrHYZ79J/B1omOTkZHTp0QHp6OqKjo70u03YdgbZFq/1uaWlp955BgwYBAA4fPmzZ/faUmpqK6667DocPH5b1OeGwz4D7fnsTLr91dnY2evfu7fa366+/3tUtKK0z0DadPn3a7fXLly+jtrZWk+Oi7euBtkWuQPvtzTXXXIP09HS339xq+93W8ePHUVZWhl/+8peuv0XCOe5tv70Jl3PcEwMhFUaNGoV9+/ahoqLC9e/GG2/ElClTXP8/NjYWmzdvdr3nwIEDOHHiBAoLCwEAhYWF2Ldvn9tFo7S0FMnJya6LUWFhods6pGWkdcTFxWHgwIFuyzidTmzevNm1zMCBAwNui1b7HR0d3e49FRUVAFovslbdb0/ff/89qqqqkJ2dLetzwmGfPffbm3D5rYcOHYoDBw64/e3gwYPo1q0bACAvLw9ZWVlun9fQ0IDy8nK337yurg5ffvmla5ktW7bA6XS6biaFhYX47LPPcOnSJbd979mzJ9LS0mR9P3K2Rav99ub//u//UFNT4/abW22/21q5ciUyMjIwfvx4198i4Rz3tt/ehMs53k7Q6dYkhGifXX/fffeJq6++WmzZskV88cUXorCwUBQWFrpel4Yd3nLLLaKiokKUlJSIK664wuuww7lz54qvv/5avPLKK16HHcbHx4s333xT7N+/X8yYMUOkpqa6ZfEH2hat9vvw4cPiN7/5jfjiiy/E0aNHxcaNG8U111wjhg8fbun9fuihh8Snn34qjh49KrZt2yaKiopEenq6OH36tKzPseI+B9rvcP2thWgtDRETEyN++9vfikOHDom33npLJCYmitWrV7uWWbp0qUhNTRUbN24Ue/fuFbfeeqvX4fP9+/cX5eXlYuvWraJHjx5uw8jr6upEZmam+H//7/+JyspKsW7dOpGYmNhuGHlMTIz4/e9/L77++muxcOFCr8PIA22LFvt97tw58fDDDwu73S6OHj0qysrKxIABA0SPHj3ExYsXLbvfkpaWFnH11VeLefPmtXstXM9xf/sdzue4JwZCGvEMhC5cuCAeeOABkZaWJhITE8XPf/5zUV1d7faeY8eOiXHjxokOHTqI9PR08dBDD4lLly65LfPJJ5+IgoICERcXJ6655hqxcuXKdp/90ksviauvvlrExcWJm2++WWzfvt3tdTnbosV+nzhxQgwfPlx07txZxMfHi2uvvVbMnTvXre6EFff79ttvF9nZ2SIuLk5ceeWV4vbbb3errRKuv7W//Q7X31ryt7/9TeTn54v4+HjRq1cv8dprr7m97nQ6xRNPPCEyMzNFfHy8GDVqlDhw4IDbMjU1NWLy5MmiY8eOIjk5Wdx9993i3Llzbsvs2bNHDBs2TMTHx4srr7xSLF26tN22/OUvfxHXXXediIuLEzfccIP48MMPFW+LFvt9/vx5ccstt4grrrhCxMbGim7duonp06e73aysut9CCPHxxx8LAF7XEa7nuL/9DvdzvC2bEEIE365EREREZD3MESIiIqKIxUCIiIiIIhYDISIiIopYDISIiIgoYjEQIiIioojFQIiIiIgiFgMhIiIiilgMhIiIiChiMRAiIiKiiMVAiIiIiCIWAyEiIiKKWAyEiIiIKGL9/yTYwwHzTqRFAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.99 * aDP, 1.01 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) )\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%100 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "bc01409d-d9e4-43a6-9fae-c76aa7bdc855",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous unit avg and sd usage are 1.00583 0.09469\n",
      "amped unit avg and sd usage are 1.00982 0.09345\n"
     ]
    },
    {
     "data": {
      "image/png": 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FJOnOO+9sMIo1KChI69evV0hIiEaOHKmHH35YCxcu1COPPKKamho9+uij2rFjh2tS0gsvvFDvv/++/vSnPykpKUnPPvushg4dqpUrV0qSRowYoc8//1yPP/54R56OViGUAGjgVFm1KmpqlTk1TrGRobIUhUtbpdW3xKkyYrQkKfe4XfM35+hUWTWhBJD09ddfa+nSpfr4449VVFSkuro6SdLRo0d1ySWXSJIuvfRSV/uzi9WOHj3abdvx48fd3nfMmDEKCQlxPU9MTJTdbldeXp7sdrvKy8t1zTXXuO1TXV3tmk/syy+/VEJCgtvrRp1VnVACoFGxkaEaFR0umZy/5cX2DZWiwn1cFWBMkydP1qBBg7Ru3TpFRUWprq5Oo0aNcuv/ERgY6PqzyWTyuO1smGkJu90uScrKylJ0dLTba/64hhyhBACANjpx4oQOHDigdevWacKECZKk999/v13e+7PPPlNFRYVrEduPPvpIoaGhiomJUe/evRUcHKyjR48qKSnJ4/4XX3yx/vGPf7ht++ijj9qltvZGKAEA+Ieig4Y9Tq9evdSnTx8999xzGjBggI4ePapFixa1SznV1dW68847tWTJEn3zzTdKT09XSkqKAgICdMEFF+i+++7Tvffeq7q6Ol155ZUqKSnRBx98oLCwMM2cOVNz587VypUrtXDhQs2ePVt79+71OPu6ERBKAADGFtLHOcPqljmdd8zAEOdxWyggIECbNm3SPffco1GjRmnEiBF68sknddVVV7W5lJ/97GcaNmyYfvrTn6qqqkrTpk3TsmXLXK8/8sgj6tu3rzIyMnT48GHZbDZddtlleuCBByRJAwcO1Kuvvqp7771XTz31lOLj4/Xoo4/qjjvuaHNt7Y1QAgAwNluMc8p3g699k5ycrC+++MJtW/214s5fN87TWnK33367br/99gbvvXz5ci1fvtzjcU0mk1JTU5WamtpobTfccINuuOEGt22zZs1qtL2vEEoAAMZni2HK926AGV0BAIAhcKUEAACDMmqH1I7ClRIAAGAIhBIAgKGc3/kTxtaef1+EEgCAIZyd2bS8vNzHlcAbZ/++6s9M21r0KQEAGILZbJbNZnOt/RISEuKaih3G43A4VF5eruPHj8tms8lsNrf5PQklAADD6N+/vyQ1WJQOxmWz2Vx/b21FKAEAGIbJZNKAAQMUGRmpmpoaX5eDZgQGBrbLFZKzCCUAAMMxm83t+sMO/oGOrgAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBAIJQAAwBB6+LoAoNsqzpPKTzT+ekgfyRbTefUAgI8RSgBfKM6T1sRLNeWNtwkMkebtJpgA6DYIJUAHyy+u0KmyardtlqJvFVtTrryJq1Vli5UkhVkDFRka7GxQdFDaMsd5JYVQAqCbIJQAHSi/uELJK99RRU2t2/aRpiPKCpbmbrNrv6NEkmQNNGvHgiRF26y+KBUAfI5QAnSgU2XVqqipVebUOMVGhrq2W4rCpa3S6lviVBkxWrnH7Zq/OUenyqoJJQC6LUIJ0AliI0M1Kjr83AaTM6DE9g2VosIb2QsAuheGBAMAAEMglAAAAEMglAAAAEMglAAAAEMglAAAAEMglAAAAENoVShZs2aNBg8eLIvFooSEBO3evbvJ9pmZmRoxYoSsVqtiYmJ07733qrKyslUFAwCArsnreUo2b96stLQ0rV27VgkJCcrMzNSkSZN04MABRUZGNmi/ceNGLVq0SOvXr9fll1+ugwcP6vbbb5fJZNKqVava5UMA3VZzi/pJLOwHwG94HUpWrVqlOXPmaNasWZKktWvXKisrS+vXr9eiRYsatP/www91xRVX6NZbb5UkDR48WNOmTdPHH3/cxtKBbq4li/pJLOwHwG94FUqqq6u1d+9eLV682LUtICBAycnJ2rVrl8d9Lr/8cv31r3/V7t27FR8fr8OHD+v111/Xbbfd1uhxqqqqVFVV5XpeWlrqTZlA91B+whlIpqyTIoZ7bsPCfgD8iFehpKioSLW1terXr5/b9n79+umrr77yuM+tt96qoqIiXXnllXI4HDpz5ozmzp2rBx54oNHjZGRkaPny5d6UBnRfEcOlqDhfVwEAbdbho2927typRx99VM8884z27dunLVu2KCsrS4888kij+yxevFglJSWuR15eXkeXCQAAfMyrKyUREREym80qKChw215QUKD+/ft73Oehhx7SbbfdptmzZ0uSRo8erbKyMt1111168MEHFRDQMBcFBwcrODjYm9IAAICf8+pKSVBQkMaNG6fs7GzXtrq6OmVnZysxMdHjPuXl5Q2Ch9lsliQ5HA5v6wUAAF2U16Nv0tLSNHPmTI0fP17x8fHKzMxUWVmZazTOjBkzFB0drYyMDEnS5MmTtWrVKo0dO1YJCQnKzc3VQw89pMmTJ7vCCQAAgNehZOrUqSosLNTSpUt17NgxxcXFadu2ba7Or0ePHnW7MrJkyRKZTCYtWbJE+fn56tu3ryZPnqzf//737fcpAACA3/M6lEhSSkqKUlJSPL62c+dO9wP06KH09HSlp6e35lAAAKCbYO0bAABgCIQSAABgCK26fQPAN/KLK3SqrFqSZCmyK1ZSbqFdlY4SV5tePYMUbbP6qEIAaD1CCeAn8osrlLzyHVXU1EqSRpqOKCtYSt2Uo/31Qok10KwdC5IIJgD8DqEE8BOnyqpVUVOrzKlxio0MlaUoXNoqrb4lTpURoyVJucftmr85R6fKqgklAPwOoQTwM7GRoRoVHS6ZQp3P+4ZKUeE+rgoA2o6OrgAAwBC4UgIYSO5xuyTPnVjPvtYqRQdb9xoAdCJCCWAAvXoGyRpo1vzNOZKa7sTaq2dQy984pI8UGCJtmdN0u8AQZ1sA8CFCCdARivOk8hOyFNk10nTE2Sn1hz4gkhpcnYi2WbVjQVK94b4NO7FKrRjua4uR5u2Wyk803S6kj7MtAPgQoQRob8V50pp4qaZcsZKygiVt9dDuvKsT0TbrucDRnp1YbTEEDgB+gVACtLfyE1JNuTRlnXIdUUrdlKPVt8Q5A0Z9XJ0AADeEEqCjRAxXpWOI9jtKnLdgGLYLAE1iSDAAADAEQgkAADAEbt8AbVB/gbyz6s8xklvXhrlFAKCbIZQArXT+AnlnnT/HiNdzi9THpGcAuhFCCdBK5y+Qd9b5c4x4PbeIxKRnALolQgnQRq4F8s5qjzlGOnjSM0+3nepr05T2ANBKhBLAqDpo0rPGbjudr023nQCgFQglQDfT2G2n87XqthMAtAGhBOimGtx2AgAfY54SAABgCIQSAABgCIQSAABgCIQSAABgCIQSAABgCIQSAABgCAwJBrqgpmZkZbZWAEZFKAG6kF49g2QNNGv+5pwm2zFbKwAjIpQAXUi0zaodC5KaXNdGYrZWAMZEKAG6mGiblcABwC/R0RUAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABgCoQQAABhCq0LJmjVrNHjwYFksFiUkJGj37t1Nti8uLta8efM0YMAABQcHa/jw4Xr99ddbVTAAAOiaeni7w+bNm5WWlqa1a9cqISFBmZmZmjRpkg4cOKDIyMgG7aurq3XNNdcoMjJSf//73xUdHa1vv/1WNputPeoHAABdhNehZNWqVZozZ45mzZolSVq7dq2ysrK0fv16LVq0qEH79evX6+TJk/rwww8VGBgoSRo8eHDbqgYAAF2OV7dvqqurtXfvXiUnJ597g4AAJScna9euXR73+cc//qHExETNmzdP/fr106hRo/Too4+qtra20eNUVVWptLTU7QEAALo2r66UFBUVqba2Vv369XPb3q9fP3311Vce9zl8+LDeeustTZ8+Xa+//rpyc3N19913q6amRunp6R73ycjI0PLly70pDUBnKDro+qOlyK6RpiOyFIVLplDnxpA+ki3GR8UB8Hde377xVl1dnSIjI/Xcc8/JbDZr3Lhxys/P1x//+MdGQ8nixYuVlpbmel5aWqqYGL7oAJ8J6SMFhkhb5rg2xUrKCpa0tV67wBBp3m6CCYBW8SqUREREyGw2q6CgwG17QUGB+vfv73GfAQMGKDAwUGaz2bXt4osv1rFjx1RdXa2goKAG+wQHBys4ONib0gB0JFuMM2yUn3Btyi20K3VTjlbfEqfYvqHOqyhb5jjbEEoAtIJXfUqCgoI0btw4ZWdnu7bV1dUpOztbiYmJHve54oorlJubq7q6Ote2gwcPasCAAR4DCQCDssVIUXGuR2XEaO13DFFlxGjntojhPi4QgL/zep6StLQ0rVu3Tn/5y1/05Zdf6je/+Y3Kyspco3FmzJihxYsXu9r/5je/0cmTJ5WamqqDBw8qKytLjz76qObNm9d+nwIAAPg9r/uUTJ06VYWFhVq6dKmOHTumuLg4bdu2zdX59ejRowoIOJd1YmJi9MYbb+jee+/VpZdequjoaKWmpuq3v/1t+30KAADg91rV0TUlJUUpKSkeX9u5c2eDbYmJifroo49acygAANBNsPYNAAAwBEIJAAAwBEIJAAAwBEIJAAAwBEIJAAAwBEIJAAAwBEIJAAAwhA5fkA9AN1NvJWGPWEkYQCMIJQDah4eVhD1iJWEAjSCUAGiT3OP2H/4UpsCbs2WuPOn2epg1UJGhP6z6zUrCAJpAKAHQKr16BskaaNb8zTlNtrMGmrVjQZKibdbOKQyA3yKUAGiVaJtVOxYk6VRZdaNtco/bNX9zjk6VVRNKADSLUAKg1aJtVsIGgHbDkGAAAGAIhBIAAGAIhBIAAGAIhBIAAGAIhBIAAGAIhBIAAGAIhBIAAGAIzFMCeKs4Tyo/IUuRXSNNR2QpCpdMoedeb25BOgCAR4QSwBvFedKaeKmmXLGSsoIlbfXQLjDEuUAdAKDFCCWAN8pPSDXl0pR1ynVEKXVTjlbfEqfYvqHu7UL6sOAcAHiJUAI0Ir+4osG6LpYiu2Il5Tqi9O+6IdrvKFFlxGgpKtw3RQJAF0IoATzIL65Q8sp3VFFT67Z9pOmIsoKl1E052u8okTXQrF49g3xUJQB0LYQSwINTZdWqqKlV5tQ4xUaeuzVjKQqXtkqrb4lTZcRo9eoZxIJ0ANBOCCVAE2IjQzUqut6tmR9G2cT2DeWWDQC0M+YpAQAAhkAoAQAAhsDtG3RLnkbW1Jd73N6J1QAAJEIJuqHGRtacj5E1Hai5WW+Z5wXolggl6HYaG1lzPkbWdICQPs7ZbrfMabpdYIg0bzfBBOhmCCXothqMrEHHs8U4w0b5icbbFB10hpbyE4QSoJshlADocO59dMJ+eJzDVSkAEqEEQAfq1TNI1kCz5m/OabKdNdCsHQuSCCZAN0coAdBhom1W7ViQ1OxIp/mbc3SqrJpQAnRzhBIAHSraZiVsAGgRJk8DAACGQCgBAACGQCgBAACGQJ8SAP6nOK/puU4kZoUF/BChBIB/Kc6T1sRLNeVNt2NWWMDvEEoAGMLZCdYsRXbFSsottKvSUeJ63TXBWvkJZyCZsk6KGO75zZgVFvBLhBIAPnX+BGsjTUeUFSylbsrR/nqhxDXB2tkNEcOlqLjOLhdAByKUAPU111ehudVt4bXzJ1izFIVLW6XVt8SpMmK0pPMmWDP5sloAHYlQApzlTV+FkD6dU1M34TbBmsm5cnNs31ApigUTge6EUAKc1ZK+ChKjOgCggxBKgPPRVwEAfIJQAsBv5B63yxLgeXSOVG+EDgC/RChBl5NfXNHsqrTwA/U6FUeWVWlc4Lda9/IRxZrytTqo4egcycMIHQB+hVCCLiW/uELJK99RRU1tk+2sgWb16hnUSVXBKyF9nJ2Jt8xxbYqU9KpZktn5vK6HVaumXa2a0HPxgxE6gP8jlKBLOVVWrYqaWmVOjVNsZGij7bjMb2C2GOdMrE0MzQ4I6aMRdDYGuhxCCbqk2MhQjYpmOKnfssUwwgnohlglGAAAGAJXSgB0KYzQAfwXoQRAl1B/DZ3G1s+R6o3QIZgAhkMoAdAl1F9Dx9P6OdJ5I3QIJYDhtKpPyZo1azR48GBZLBYlJCRo9+7dLdpv06ZNMplMuvHGG1tzWKBtivOk73Iaf7DYnt+Ltlk1KjrcuW6OnOvnjIoOdz2aGpEFwPe8vlKyefNmpaWlae3atUpISFBmZqYmTZqkAwcOKDIystH9vvnmG913332aMGFCmwoGWoXF9gDA8LwOJatWrdKcOXM0a9YsSdLatWuVlZWl9evXa9GiRR73qa2t1fTp07V8+XK99957Ki4ublPRgNdYbA8ADM+rUFJdXa29e/dq8eLFrm0BAQFKTk7Wrl27Gt3v4YcfVmRkpO6880699957zR6nqqpKVVVVruelpaXelAk0jsX2AMCwvOpTUlRUpNraWvXr189te79+/XTs2DGP+7z//vt6/vnntW7duhYfJyMjQ+Hh4a5HTAy/uQIA0NV16ORpp0+f1m233aZ169YpIiKixfstXrxYJSUlrkdeXl4HVgkAAIzAq9s3ERERMpvNKigocNteUFCg/v37N2h/6NAhffPNN5o8ebJrW11dnfPAPXrowIEDGjp0aIP9goODFRwc7E1pAADAz3l1pSQoKEjjxo1Tdna2a1tdXZ2ys7OVmJjYoP1FF12kzz//XDk5Oa7Hf/7nf2rixInKycnhtgwAAHDxevRNWlqaZs6cqfHjxys+Pl6ZmZkqKytzjcaZMWOGoqOjlZGRIYvFolGjRrntb7PZJKnBdgAA0L15HUqmTp2qwsJCLV26VMeOHVNcXJy2bdvm6vx69OhRBQSwzh8AAPBOq6aZT0lJUUpKisfXdu7c2eS+GzZsaM0hAQBAF8clDQAAYAiEEgAAYAiEEgAAYAiEEgAAYAiEEgAAYAiEEgAAYAiEEgAAYAitmqcEMJziPKn8hCxFdo00HZGlKFwyhZ57veig72oDALQIoQT+rzhPWhMv1ZQrVlJWsKStHtoFhkghfTq5OABASxFK4P/KT0g15dKUdcp1RCl1U45W3xKn2L6h7u1C+kg2FoHsVs67QtbgShr/JgBDIZSg64gYrkrHEO13lKgyYrQUFe7riuArIX2cV8a2zHHb3OBKWmCING83wQQwCEIJgK7HFuMMG+Un3DbnFtrPXUkzfecMLeUnCCWAQRBKAHRNtpgGYaPSUXLuSpoptJEdAfgKQ4IBAIAhcKUEQPfW3HBxOsMCnYZQAqB7aqQzbAN0hgU6DaEEQPfUSGdYN0UH6QwLdCJCCfxKfnGFTpVVu22zFNkVK+fIitw6u28Kg3/y0BkWgO8QSuA38osrlLzyHVXU1LptH2k6oqxgKXVTjvY7SmQNNKtXzyAfVQkAaC1CCfzGqbJqVdTUKnNqnGIjzw3ntBSFS1ul1bfEqTJitHr1DFK0zerDSgEArUEogd+JjQzVqOh6s7X+MN9EbN9QZnEFAD9GKAGA85ztu1S/v1Klo8StDVfkgPZHKAGAeur3XTq/v1J91kCzdixIIpgA7YhQAgD11O+7NCrAvb/SWbnH7Zq/OUenyqoJJUA7IpQAgAexkaGKpb8S0KlY+wYAABgCoQQAABgCt28AdDu5xxuf+bep1wB0LEIJgG6jV88gWQPNmr85p8l2rlmByzunLgBOhBIA3Ua0zaodC5IarJ90PtccJIQSoFMRSgB0K9E2K8N4AYOioysAADAEQgkAADAEQgkAADAE+pQAQHOKDro9tRTZNdJ0RJaicOcq1SF9JFuMj4oDug5CCQA0JqSPFBgibZnjtjlWUlawpK0/bAgMkebtJpgAbUQoge8V50nlJxp/nd9C4Su2GGfYOO/fZ26hXambcrT6ljjFmr5zhpbyE/w7BdqIUALfKs6T1sRLNU1MCHH2t1CFdVpZgIstpkHYqHSUaL+jxLly8A+L9gFoO0IJ2iy/uKLlk1Gdr/yEM5BMWSdFDG/4etHBc7+FEkoAoEsjlKBN8osrlLzyHVXU1DbZzhpo1o4FSY1PWhUxXIqKa/wNig7K4jivc2G91wBfyD1ulyXArlg5b+lUOkrcXm80jAPwiFCCNjlVVq2KmlplTo1TbKTny9i5x+2avzlHp8qqvf+CrtfRsEHnwvoCQ5xtgU5Qfw2dkaYjygqWUjflaP95oaTZMA7ADaEE7SI2MlSjosPb9B6ebwOFKfDmbJkrTyrvZIVWvHnA2bmw73kBiM6w6ET119CxFIVLW6XVt8Q5+5j8oE1hHOimCCXoWMV5shR96/m2i+S69XLcXqXkZ1tyGyhW1kHjJL7k4WOuNXR++Dcda/rO7d+3JYC5TABvEUrQcX4YWRNbU974bRdJdT2s+rQwoNnbQBL36GFAzGUCtBtCCTrODyNrTl67RnOySlV5ps5js1OVF+i7fx6XNdCsHw/pTeiAf2EuE6DdEErQ4XoPHKUnF4xo/bBhwOiYywRoF4QSdArX/XcAABrBKsEAAMAQCCUAAMAQCCUAAMAQCCUAAMAQCCUAAMAQCCUAAMAQCCUAAMAQCCUAAMAQCCUAAMAQCCUAAMAQCCUAAMAQWhVK1qxZo8GDB8tisSghIUG7d+9utO26des0YcIE9erVS7169VJycnKT7QEAQPfkdSjZvHmz0tLSlJ6ern379mnMmDGaNGmSjh8/7rH9zp07NW3aNL399tvatWuXYmJi9B//8R/Kz89vc/EAAKDr8DqUrFq1SnPmzNGsWbN0ySWXaO3atQoJCdH69es9tv/b3/6mu+++W3Fxcbrooov05z//WXV1dcrOzm5z8QBgdLnH7cottDv/XGjXv/NL3B75xRU+rhAwjh7eNK6urtbevXu1ePFi17aAgAAlJydr165dLXqP8vJy1dTUqHfv3o22qaqqUlVVlet5aWmpN2UCgM/16hkka6BZ8zfnaKTpiLKCpdRNOdrvKHFrZw00a8eCJEXbrD6qFDAOr0JJUVGRamtr1a9fP7ft/fr101dffdWi9/jtb3+rqKgoJScnN9omIyNDy5cv96Y0ADCUaJtVOxYk6VRZtSxF4dJWafUtcaqMGO1qk3vcrvmbc3SqrJpQAsjLUNJWjz32mDZt2qSdO3fKYrE02m7x4sVKS0tzPS8tLVVMTExnlAgA7SbaZnWGDVOoJCm2b6gUFe7jqgDj8iqUREREyGw2q6CgwG17QUGB+vfv3+S+K1as0GOPPaYdO3bo0ksvbbJtcHCwgoODvSkNAAD4Oa86ugYFBWncuHFunVTPdlpNTExsdL8//OEPeuSRR7Rt2zaNHz++9dUCAIAuy+vbN2lpaZo5c6bGjx+v+Ph4ZWZmqqysTLNmzZIkzZgxQ9HR0crIyJAkPf7441q6dKk2btyowYMH69ixY5Kk0NBQhYaGtuNHAQCDKzro9tRSZNdI0xFnnxNTqBTSR7Jxqxrdl9ehZOrUqSosLNTSpUt17NgxxcXFadu2ba7Or0ePHlVAwLkLMM8++6yqq6t18803u71Penq6li1b1rbq4VvFebIUfev+pVrfeV/AQLcV0kcKDJG2zHHbHCspK1jS1h82BIZI83YTTNBtmRwOh8PXRTSntLRU4eHhKikpUVhYmK/LgSQV50lr4qWa8qbb8SULOBXnSeUn3DblFtqVuilHq2+JU6zpO2douesdKSrONzUC7czbn9+dOvoGXUj5CammXHkTV2vuNrvzS7Wvh9txXI4GnGwxDf4vVDpKtN9R4hwmfP6VRqAbIpSgTapssee+VBnqCLRK7nG7LAF2xcp59aTyvAnWevUMYh4TdAuEEgDwEWZ9BdwRSgDARzzN+rr22lBV2c5ddcw7WaEVbx5QxbehUnkLbvFwyxR+jFACAD7kmvW15yApMEQxb6e6vR4raWL9ETrNoXM5/BihBACMwBbjDBNNjdDx1Jm8vqKDzhE85ScIJfBLhBIAMIrmRujQmRxdnFfTzAMAAHQUQgkAADAEQgkAADAEQgkAADAEQgkAADAERt8AgB/IPW5vto2lqPGp6iWmq4fxEUrQpPziCp0qq26w/eyXX97Jis4vCuhG6k9F35ympqqXmK4exkcoQaPyiyuUvPIdVdTUNnjt7JffijcPyBoYq149g3xQIdD11Z+Kvjlnp6pffUucc16TenKP2zV/c45OlVUTSmBYhBI06lRZtSpqapU5NU6xke4zSdb/8rMOGseXHNCBXFPRN8fk/H8a2zeUidbglwglaFZsZKhGRZ/3BVf/y49AAgBoB4y+AQAAhsCVEgDoRpobxcMIHfgSoQQAupqigw02RZZVaVzgt1r38hGdclyg7xThcVdG6MCXCCUA0FWE9JECQ6Qtcxq8FCnpVbMks1TXw6qv//st1YRGu7VhhA58jVACAF2FLUaat1sqP9F4m6KDCtgyRyOq/i1d4D7M2BJg10jTEefoup6DnO8HdCJCCQB0JbaYpsNEE1dTYiVlBUvaKmebebsJJuhUhJKupjiv6d+SJOeXEl80QPfUxNWU3EK7UjflaO21oYp5O9XZhu8KdCJCSVdSnCetiZdqyptux29AQPfWyNWUSkeJ9jtKVGVj4jX4BqGkKyk/4QwkU9ZJEcM9tyk66Lxsy29AAACDIZR0RRHDlR8ywvNCeo5zq4haQyoa72FfnCdL0bfnOr2Z3KeZ9zTkEACAtiCUdEHH7VVKfrbphfRSN+XocA+75/kIfrgNFFtTfq7TmyeBIc7+KQAAtANCSRdUWlHT7EJ69/3HCM16o9rzfAQ/3AbKm7hac7fZtfqWOOcaN+ejwywAoB0RSvxQfnGF51szRc5bM3knKyQ1vZBeTG+rpKaXQq+yxWq/o8S5BDorjgIAOhihxM/kF1coeWXTt2ZWvHlA1sBY9eoZ1Oz7eVoH4/xwA6B7yTtZ4ep7VukoafA66+OgoxBK/Mypsupmb82sviVO1kHjmvzSCLMGyhpo1vzNOQ1ea024AeD/evUMkjXQrBVvHtDEH/qe7fcQSlgfBx2FUOKnmro1E9s3VGrmyyKy8lu9c9sglVbUNHgtuDhUertl4QZA1xFts2rHgiRVfBvq+gWnMmK0WxvWx0FHIpQYTGP9Rc5qbtnxZtWbYjpSzkW6PAoMUeygQc2GGwBdS7TNKpXX+wWH/mToRIQSA2mqv4gkRalIvUynNS4wQJFlEdJ3we4NWjJ3SEsW7JIYWQMA6HSEEgNpqr9IoD1fw165UwFnfuh8urGRN2nJ3CHNLdgFAJLHX3QsRawkjI5DKDEgj/1Fvjsinaloegp5iSscANqOlYThI4QSfxMxXIqK83UVALoyVhKGjxBKDCTQns9aMwCMgZWE4QOEEqMoztOwV65WVnAFa80AALolQolRlJ9QwJkKpVbfrf+Zej1rzQDoGorzGO2HFiOUGEyuI5q1ZgAYXnNT0UtnRw1efW7UYGPoMIsfEEoAAC12/lT0T23OUq4jx2PbWFO+Vgc5rwDnOqIbvG7pEaB114ep97Z5dJiFJEIJAMALZ6eitxcMVN0rVq3WM022r+th1d3TblNNqHsoOTtd/UlruHp3ZMHwK4SSTtTUFPJnV+YFAKOLtlkl2yVSyifN9hcJCOmjEVwBQQsRSjrJsaNf655121V5ps7j687LnM7LmazKC8AvMDs02hmhpDMU5ynyxQl61VwhmRtvVtfDqjV3XKP+LIIHAJKaX6RUcvZzYcXiroFQ0hlaMtxXzsuc/fmtAwAkNb9I6VnWQLN2LEgimHQBhJJOxHBfAGi5+ouUXhxSInPlyQZt8k5WaMWbB3TwU7MqejceSsKsgYqMjOJ2k8ERStoJnVgBoA2aWJE4rqpWg1//tVRT3qBNrKSJwZLeaf4QdT2sCkj5hGBiYISSdtDcJcaRpiPKCqYTKwCc75A9WBf2sCqgqRWJt8k5wdqvXpVCIhq0O26vUmlFTaPHyDtZode2v+Ucvsx8KIZGKGkH9oIjuvBMru6bNEIxHi4fBheHSm9Lz942TpHc8wQA1yRsv/7ncUXpcfUynfbYztIjwPnd2cStl8gfHo2pzC9R7psH2l40OhyhpK3qL6TX1OXDwBDnfyoAgGsStpaMrOGXue6DUNICTfcX+VaxLRhZw4JTAOAu2mbt9BEzTa3Vw9Bi3yOUNKOl/UX+zxwj66BxEv+gAcBQevUMkqVHgCQpdVOO9jcSShha7HuEkmbUH5IWG9nwKoilKFzaSn8RADCqaJtVz942Ttoorb02VFW2htMynB1abC8Y6JxC308cO/q17KcKmmwT2quf+g8c1kkVtU23DyXNzRaYe9wuSYqNDNWoaA/zi5icQSUyNLhD6gMAtF1kZJQUGKKYt1M9vn52aHHdK1bnmj5+cLv92NGvFfb8FepvqmqyXbkjWMfu/MAvgkmrQsmaNWv0xz/+UceOHdOYMWP01FNPKT4+vtH2r7zyih566CF98803GjZsmB5//HH9/Oc/b3XR7cWb2QIZygsAfswWI83b3egCgrmFdj21Ocuvhg3bTxWov6lKey57XLZBozy2Kf723xq/77f67lSB1BVDyebNm5WWlqa1a9cqISFBmZmZmjRpkg4cOKDIyIaDsj788ENNmzZNGRkZuuGGG7Rx40bdeOON2rdvn0aN8nwSO0tzt2YkKdCer16m04osPyA1nLfH44Q/AAADamIBwUpHiXIdOZKkvK9zVFVob/VhOnv2WNugUYodc6XH13IlaZ8znOQ28R5GucXjdShZtWqV5syZo1mzZkmS1q5dq6ysLK1fv16LFi1q0H716tW69tprtXDhQknSI488ou3bt+vpp5/W2rVr21h++2j01kxxnrThZx5nEXQTGOIcXQMA8Eu9egapoodN5Y7gRm/xeKPWbFXuL99STWh0o20C7fkep84/qz3CTWivfip3BGv8vt9K+xpvZ5RbPF6Fkurqau3du1eLFy92bQsICFBycrJ27drlcZ9du3YpLS3NbdukSZP02muvNXqcqqoqVVWdu0dWUuLsKV1aWupNuc2yny5VXVW57KdLVVpqatig4FvJXiZNflLq08RE8dbeUkC41M71AQA6xwUB0jNzrtGXhf+rgMpTrX6f0soavfrmTv0u4Dk98dyfddgxwGO73qbTygx8RiGmpudpORVg0f9d/aTOWHo1eK0k7wtFVjl02l7W6M/HEFs/5f/yDdmLjzd6jJK8L3TZZ+n6Pu+wQmz9mqzHW2frcjgcLdvB4YX8/HyHJMeHH37otn3hwoWO+Ph4j/sEBgY6Nm7c6LZtzZo1jsjIyEaPk56e7pDEgwcPHjx48OgCj7y8vBblDEOOvlm8eLHb1ZW6ujqdPHlSffr0kcnk4YpGN1BaWqqYmBjl5eUpLCzM1+UYBufFM86LZ5yXxnFuPOO8eNbS8+JwOHT69GlFRbVsRnOvQklERITMZrMKCtzHRBcUFKh///4e9+nfv79X7SUpODhYwcHuQ2xtNps3pXZZYWFh/MfwgPPiGefFM85L4zg3nnFePGvJeQkPD2/x+wV4c/CgoCCNGzdO2dnZrm11dXXKzs5WYmKix30SExPd2kvS9u3bG20PAAC6J69v36SlpWnmzJkaP3684uPjlZmZqbKyMtdonBkzZig6OloZGRmSpNTUVCUlJWnlypW6/vrrtWnTJu3Zs0fPPfdc+34SAADg17wOJVOnTlVhYaGWLl2qY8eOKS4uTtu2bVO/fs4eu0ePHlVAwLkLMJdffrk2btyoJUuW6IEHHtCwYcP02muv+XyOEn8THBys9PT0Bre1ujvOi2ecF884L43j3HjGefGso86LyeFo6TgdAACAjuNVnxIAAICOQigBAACGQCgBAACGQCgBAACGQCgxkDVr1mjw4MGyWCxKSEjQ7t27m2yfmZmpESNGyGq1KiYmRvfee68qKys7qdrO4815qamp0cMPP6yhQ4fKYrFozJgx2rZtWydW2zneffddTZ48WVFRUTKZTE2uJXXWzp07ddlllyk4OFixsbHasGFDh9fZ2bw9L99//71uvfVWDR8+XAEBAZo/f36n1NnZvD0vW7Zs0TXXXKO+ffsqLCxMiYmJeuONNzqn2E7k7Xl5//33dcUVV6hPnz6yWq266KKL9MQTT3ROsZ2sNd8xZ33wwQfq0aOH4uLivD4uocQgNm/erLS0NKWnp2vfvn0aM2aMJk2apOPHPS+itHHjRi1atEjp6en68ssv9fzzz2vz5s164IEHOrnyjuXteVmyZIn+9Kc/6amnntIXX3yhuXPn6qabbtKnn37ayZV3rLKyMo0ZM0Zr1qxpUfsjR47o+uuv18SJE5WTk6P58+dr9uzZXe4HjbfnpaqqSn379tWSJUs0ZsyYDq7Od7w9L++++66uueYavf7669q7d68mTpyoyZMnd/v/Rz179lRKSoreffddffnll1qyZImWLFnSJefd8vbcnFVcXKwZM2boZz/7WesO3KIVctDh4uPjHfPmzXM9r62tdURFRTkyMjI8tp83b57j6quvdtuWlpbmuOKKKzq0zs7m7XkZMGCA4+mnn3bbNmXKFMf06dM7tE5fkuTYunVrk23uv/9+x8iRI922TZ061TFp0qQOrMy3WnJe6ktKSnKkpqZ2WD1G4e15OeuSSy5xLF++vP0LMojWnpebbrrJ8atf/ar9CzIQb87N1KlTHUuWLHGkp6c7xowZ4/WxuFJiANXV1dq7d6+Sk5Nd2wICApScnKxdu3Z53Ofyyy/X3r17XbcyDh8+rNdff10///nPO6XmztCa81JVVSWLxeK2zWq16v333+/QWo1u165dbudRkiZNmtToeQTqq6ur0+nTp9W7d29fl2Ion376qT788EMlJSX5uhRDeOGFF3T48GGlp6e3+j0MuUpwd1NUVKTa2lrXrLhn9evXT1999ZXHfW699VYVFRXpyiuvlMPh0JkzZzR37twudfumNedl0qRJWrVqlX76059q6NChys7O1pYtW1RbW9sZJRvWsWPHPJ7H0tJSVVRUyGq1+qgy+IMVK1bIbrfrl7/8pa9LMYQf/ehHKiws1JkzZ7Rs2TLNnj3b1yX53Ndff61FixbpvffeU48erY8WXCnxUzt37tSjjz6qZ555Rvv27dOWLVuUlZWlRx55xNel+dTq1as1bNgwXXTRRQoKClJKSopmzZrltvQBgJbbuHGjli9frpdfflmRkZG+LscQ3nvvPe3Zs0dr165VZmamXnrpJV+X5FO1tbW69dZbtXz5cg0fPrxN78WVEgOIiIiQ2WxWQUGB2/aCggL179/f4z4PPfSQbrvtNldCHz16tMrKynTXXXfpwQcf7BI/hFtzXvr27avXXntNlZWVOnHihKKiorRo0SJdeOGFnVGyYfXv39/jeQwLC+MqCRq1adMmzZ49W6+88kqD23/d2ZAhQyQ5v3cLCgq0bNkyTZs2zcdV+c7p06e1Z88effrpp0pJSZHkvOXncDjUo0cPvfnmm7r66qtb9F7+/5OrCwgKCtK4ceOUnZ3t2lZXV6fs7GwlJiZ63Ke8vLxB8DCbzZIkRxdZzqg15+Usi8Wi6OhonTlzRq+++qr+67/+q6PLNbTExES38yhJ27dvb/Y8ovt66aWXNGvWLL300ku6/vrrfV2OYdXV1amqqsrXZfhUWFiYPv/8c+Xk5Lgec+fO1YgRI5STk6OEhIQWvxdXSgwiLS1NM2fO1Pjx4xUfH6/MzEyVlZVp1qxZkqQZM2YoOjpaGRkZkqTJkydr1apVGjt2rBISEpSbm6uHHnpIkydPdoWTrsDb8/Lxxx8rPz9fcXFxys/P17Jly1RXV6f777/flx+j3dntduXm5rqeHzlyRDk5Oerdu7cGDhyoxYsXKz8/Xy+++KIkae7cuXr66ad1//3364477tBbb72ll19+WVlZWb76CB3C2/MiSTk5Oa59CwsLlZOTo6CgIF1yySWdXX6H8fa8bNy4UTNnztTq1auVkJCgY8eOSXJ2Gg8PD/fJZ+gI3p6XNWvWaODAgbroooskOYdOr1ixQvfcc49P6u9I3pybgIAAjRo1ym3/yMhIWSyWBtub5fV4HXSYp556yjFw4EBHUFCQIz4+3vHRRx+5XktKSnLMnDnT9bympsaxbNkyx9ChQx0Wi8URExPjuPvuux2nTp3q/MI7mDfnZefOnY6LL77YERwc7OjTp4/jtttuc+Tn5/ug6o719ttvOyQ1eJw9FzNnznQkJSU12CcuLs4RFBTkuPDCCx0vvPBCp9fd0VpzXjy1HzRoUKfX3pG8PS9JSUlNtu8qvD0vTz75pGPkyJGOkJAQR1hYmGPs2LGOZ555xlFbW+ubD9CBWvN/qb7WDgk2ORxd5Fo/AADwa/QpAQAAhkAoAQAAhkAoAQAAhkAoAQAAhkAoAQAAhkAoAQAAhkAoAQAAhkAoAQAAhkAoAQAAhkAoAQAAhkAoAQAAhkAoAQAAhvD/AdrpKDMEYFtFAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prevUnitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        prevUnitUse[u] += HDweight[t] * nDistricts\n",
    "\n",
    "ampedUnitUse = [0. for u in range(nUnits)]\n",
    "ampedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "ampedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in ampedHDlist[t]:\n",
    "        ampedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "plt.hist(prevUnitUse,bins=50,weights=unitPop,label=\"previous\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.legend()\n",
    "ampedUnitUseAvg, ampedUnitUseSD = getWeightedAvgAndSD(ampedUnitUse,unitPop)\n",
    "print(\"previous unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "ee512b2b-4daa-4a6b-9452-e8dfdfdebc88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the current barredJettisonSet (usually CCB's) is {8797, 8798, 8799}\n"
     ]
    }
   ],
   "source": [
    "#CHECK ON BARRED JETTISON SET BEFORE RUNNING BELOW\n",
    "print(\"the current barredJettisonSet (usually CCB's) is\",barredJettisonSet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "dd7d9818-344c-4150-917b-57a4ee051c92",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 831 overPopped HDs to within 1058\n",
      "working on squaring down HD 16 time is now 0\n",
      "working on squaring down HD 610 time is now 359\n",
      "working on squaring down HD 838 time is now 699\n",
      "working on squaring down HD 1727 time is now 740\n",
      "working on squaring down HD 2779 time is now 891\n",
      "working on squaring down HD 3249 time is now 1097\n",
      "working on squaring down HD 3593 time is now 1319\n",
      "working on squaring down HD 3889 time is now 1488\n",
      "working on squaring down HD 4805 time is now 1673\n",
      "working on squaring down HD 5085 time is now 1725\n",
      "working on squaring down HD 6134 time is now 1768\n",
      "working on squaring down HD 8224 time is now 2160\n",
      "working on squaring down HD 8383 time is now 2197\n",
      "working on squaring down HD 8576 time is now 2546\n",
      "We have addressed overpop in a total of 831 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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FLvp6+ki8/y21DajYdwRA5yIvpnQY0a+Ho6N3xP6SgkWwN1OzYJY2mUXA0ip0GKW1lBLuWY9laQOrkFle7SdBSCckCNnAzoPG+gjlZCTjgt9+JPsC2hWmqVX7MTovExnJ8UzRYbMvHID83t3DJpP3Kw8xtc9KJ1i71dxm+lSw3lvxOb2x/cBRbN77H25zit4+ivN6MD4/S7I2l9PzI+nVDJipWTAywCEUNQFL69xilNYyUijnPZalDaxC5iub9+PcvExHCO1uhTJLW8yS9dWSjoJ6qDrUopg5eHJhNjbdV4xVM8fimauKsGrmWGy6rxgTC3ya60+poSejcZzXgxvH5zFdZ/zAH2FaUR+MG/BDwkYn+kZFc0001nsbu6QcM5ZvwbKPtPnImdlHoqAYOZacgN40CGamURC1zgBbPlS1Y1iyKmudW3h+x1OBnudYnjbwZBinavX6IEHIQk6dDmD5P40VguSIfAEjJ/qyan+XsgLjH9+IZ8prdAtGPBODHLOLBwbzkEihNGE6sUhoNOf0YW1zY6sxfnFu7CM96BXszd4YyJWS6JES3+Ud9qUn4bbz8+BBV6GIxVyvdW7h/R3PxoX12C21DVxtEIVMllnYrZsop0CmMQv5Y8V+WCm0y6m8ZdW4LSfDorW0OqgaoYpX8qVSmzCd4BsViRO1VEZhdZvd2Ed60Bv0YEXQBG9+MVa/rEhfmoAgaJpbeOckMzYuFfuOcLd9cmE2bhqfi1cZinXLtYWSMapDgpCFHGg8bst1Q18QnrwfWh1UjZpExIgfLf5NTkth79YIPhbM8hOJxMl9ZOZio1ewt2pjwJNfjMUvSzJbdTJbuoDIuYV3TjJn48LWv5FtnVjgYxKEpNpCyRjZIEHIQvpnagsL10voC8KT90POQVVt0t9/pJW7XXLwOrJGtk2uBpvViIuRFg2X02FJ+seKGDbvFE0eC1YsNnoFe6dtDABlB37ZbNWM5XUi55asMxK5fse7cWE5dtyAnlj20V7utmvdRFEyRnZIELKQ68bl4tF1u03dNYci9YLw+ldEqmulJv3M1AQ8Oq0QlwzLRmlVPZaW13C3SwnWiCelBWlaUR+ma5mNVA6p9JR4PH75UFdPSnILbc/UBDS0nlL9/ewLB2L8wKxgZW49C7ZVpoCOgIBlG/dKJv80Y7HRG93m9Og4Ed5s1aFIzS2lVfVY9MEXXL/j1aKxHKu1XIraRkMAcP8l4SWW7I5SdRskCFlIQjcvLhr8I5Tv/o/p15LbQWv1r/j22EnZHUZj6yncsXIHZn6dh7WfyUeDhWL0zn79Z9/gjpU7u3zulN2PXN8BnUnx1HCDnV9qoR3Vvwcu+O1HqpP/vImDgvejZ8G2yhQgLq5y5TvMWmz0pkFQ+70TxpnWbNVSc57Se6f0O4BPi8Z6rFYT5eTCbNx6fh6W/7MOgsTNzFm9E1WHmrDgks4IPkrGyAcJQhbSERDwxTfHLLmWnJZBqz9H1hmJuPudXYq/YY2Im1syyNBFaf1n9Zi9qqsQBIRHY9i1+2HZ4Sq1z012fqmFVsvkr2XBZzEFGKERYVlcAfctNk4ZZ6xa68hcY5FCB6tmSUnbyCOUsxyr1URZWlWPlz6uk72XgPBD/bYFlxREdZSqGZAgZCFG1uVRQ07LoMWfw5eWCAgwrO39MpPDsmCP6t9Dsx9PaVU97lipnqXbzgVJz+4sGuz8ZvinRGouRvXvoWoKWPDe5120OLwLvRazjRsWGyeNM1Z/nuevHgmv14Nvj51EVmoi4AGOfNeGitoGjM7LZJ5vn/z5cIwd0FMyMz/AJ5SzHKvF75F1zC3/Zx3u+uk5UR2lagYkCFmIv/mEZdcSIK9lkFuY5Dh5OoANXx42rG2L1+1GY4jfiNeDsLQCrIuTUukBKfwt9ixIWndn0WTnN9I/RdpPLV4xT5EA4KjE5oB3odeymXH6YuOkccbjzzP2+8SXpVX1uPvPu7posiYP6c10zY1fHpb8vZmaMCWBqUvKgIByyoBQAkJnmpYbxudFbZSqGZAgZCGNDE6jRlLffBLLNtZgTsmgLt9FLkzl1X789TO/5Hmaj7czhW+yEtkPkbmVWBcn3kWp8Ttpfw6z0bo7izY7vxFlPuT91LQla+Rd6Hm0O25ZbPSMMyN9irT488j9pr75JFZ8coDpuq9IzG12aVz1pAwQOdB43JG51JwMCUIWksmo8jWSpeU1ONvXXfJlFhem0qp6WSEI+GGxEP/fbEIXp+6J8TjS2iY5yfKaHDJTE4xtKCNaw1/Jzh+OnmgiJXgESl7tjhsWG63jzEifIi3+PHrHgweAx9N1IwZYowmLFCKPtp7CrJXaUwaIiGlanJgywamQIGQhvjR7VOQslanV0Lv4qJkupK5X33wS17yyNfhZ5CTLuyj50pO5jjcKrbszsvOHY7aPHYtAwBps4FRndim0jDOjfYp4/HnEwrl6x4MASEZghX5vlsZVSoj0evTPs15PZ5oWEbekTLAbqjVmIeIkqpVIFSnrWFaqQ2OFA/fCKYOx8NIhus8TWZiQpyih1bXFIpGrx+RLT5JdNJxYMy2UjoBgWtFeKczWfLEIBCxFRueV5GPTfcWOFIKknhnvODOilmBkmzbvZUspcqT1B/O2nvGQmRqPm8bnMh1r9LiTK7xqxOsz8yd5SOgWvqw7uaCwUyCNkIUoZRdm4flrRsLr8YSpUlkipgDg7U8Pwt9yEr608B2BFWaVrO6JhmgtpNTVoqZFCQ+cYaLg3Z2paZIEAFed2xdrP/vG8p2eHaHWrGMoMzWByx+P15dHzuTgdC2Q0jPj0Vga6bsm1SYlQseAnjll4aVD4EtL0ly6Qit6zXmRKQNEvJ5OIUjMI0TwQYKQxUws8ElmF1bD4wHOzc1EQjdv0LbcHgjg5yP74M87Dqn+fk3lN1hT+Q2A8AnbCrOKuEgbUY8qcpJVi4BzyuIU6Q9w6bAcJqFF7v7Sv6/qHZrF26p7tSvUmtXX6oGLz8Hs1ZVM59TqOOo2kwPLM2P1JzHKd401HxMgLazqmVPEDaGVkVUdAQGvba7TpYEXN8PfNJ1A5ddHAQC5PVNx3bjcLpoggh0ShCxmW10jtxAEdNqyX/jHXpzt695lsuKt71QfkWDOrIKZoROJkfWogPBJNnRR8recRON3bchMTYAvPdkRi5Ne7Unkorv/yHE8Xb7HlpwvdoZas/haLZxSgMXr2FMq6HEcNSIKzgpYn9mm+4qZhDsjfNd4NCNywqqWOYV1TjI6sopX8xVJMGXAWT+Ytv571Jm620V0QiKkxegxRb34f7WStmWtQoXoJK3m89AjJR4pCXFc55aaSOT8ZLTMM5GTrLgoXTaiD27+yVm4bOSZjrCHy/kDRPo7qSHe36XDcrD604OG+WfwwmMWMQM1X6seqQlMi83sCwdi1cyxjvXlMRKeZ8biT2KE7xqPb6KSH53ceJBrF8A2Jyldkxe5OYAVCnc3H9IIWYweU9SJ9oDi95GJCZUInfzkzC8ZyfG4cXwu8nt1V/VFijT3ye205epRiZmls85IxB1vbUfzidOS13FLbhbAHO2J3bmFnBDSr2SWer9S3UwMAPm9z3CFNscIyqrlU2OEwvrMjNCksF5r9oUD8cuL8rH9wFG8X3lItmxF5Hg42tqGxet2M4WNm2nm1OITFDmPU7i7+ZAgZDGj8zJxRmIcvmvrMPzcAQGYXpQT9AViQZyQ5CYDABj/+EbFc/RIicfW+0uYy2RImRTEv0ur6mWFIKBz0nXLzsgMocVqQSTSt4m1/IHZvmdyZilKORBOaVU9czJUnj7Rm6OG9VrxcR5c8NuPVM3KUuNhUmE2V2CCGYIxb1SuB8CyGSPQIzXRFb5n0QIJQjbQLc4LwHhBCACqDjVzHR86IUlNBs+U71EtTXH0eDu2HziqeyJhyWnUIyUeEwt8uq4TeU2zHF7NEFqsXOil/Bp8aYnISIlH8/F2TQ6mZlc3t9oB1snwlKDRkoZBjyaF5TllpMSHBQOIsPrCOcGHi3dDcuv5ebhkWI5JrSHkIEHIYrQ6S7Oy9z+tzMf2SIlXnPxKq+olJyIpjNBAsOyejh5vN8zsY3YIuBlCi1ULvVxEz+GWtuBnvGYRK0LuqbTAD/BoI7T2iVZhg+U5yZmT3FBnTxT4aw4fY/6NB8AHu+px7+TBjrynaIacpS3GSeUQjh5vl/Uf6AgIqsUPQwldzHkS7YUe+88atqRqRhSvNcqJWQkzEiIqJfQzaqFn8W3KSIlH74hM6UoOplb0t4gVDrBugHWuuXl8ri19ovSc5pYMUtwwmu2Ur4fSqnpMeGIjZizfgmUf1TL/zsn3FO2QRshiWH0srEBpV9UZis5WpLRnakJwMefZ9WsNKdVbvNaqEHCztBNm1xBi8W1qOt6Ot24eCa/Xo2oWsSPk3m15fsyAVdNYYqCpmRe557T2MzY/RydtLAG+3EhyGH1PZpujowEShCxmW12D3U0IIu5AXttcF8z+LL4kPC/jtKKcYCVoqazZ9c0ncfubOzCvJB+zi/MVq0azoLd4rZWRV2YJLWYu9KzP/khrG6YV9VE9zq5INyf4iNiJW/ylpJ6TG53ejSoKbOQ92ZEB3o2QIGQhHQEBr39ywO5mdGHxut3B/xdfEp6XcWKBDx0BAfPf+1zxuKXlNVi17Wv86tLOpHdaJwy9xWutjrwyS2gxa6E3ehFyQsh9LOJmfym3CHGhGFG3MUPFb5MHuzLAuxHyEbKQbXWNknVinIT4khxtPQVfmrrmRfRxWbZxL5MTuL/lJO5YqT25mBFFRvUs9FoLjbqp8KHRvk1u3N1HC271l7LCF85ojBDkbzwvz/T8RVYkXnUbpBGyEDfseMXX4pG1X+BXlxbgjpU7FY8XJ6sVm+tMbZeRk5/W3abb1MxafQOM1iS4cXcfTbjVX8psXzij0SvIpyTEYXbxQEPaYnfiVbdBgpCFuGnH629pQ823rXjx2pGY/97nXbQ9PVLiseTyoZhcmI2K2gbTNV2ZqQmYVpSD9OQEdAQEy52Y3aRm7ggIWLaxBis27w97Lrz1zYxahNxsookW7PaX0iqUu0mI01tY+pJCH9Z+9o0h90jmaD48giCQbkyGlpYWpKeno7m5GWlpabrP1xEQMPShv+N4O1syxez0JCycUoD05HjMWrlDUdhIiPMgKd6LlpPS5+YpvxHKi98XZt1S24CKfUcAdE6oocX/3q88hDmM1b5Z8ADonZaIp/6nCBt3H8ZfKg+hsVXbgq4Eq4anIyBgwhMbZXdYokZj033Ftk/QpVX1koIr8IPQwSO0GRlx4jaNGmEMsfTcxQ0TwFcDMnKDoLd/KmobMGP5FtXjVs0cG7UaIZ71mwQhBYwWhADg7j9V4s871OshTRzcC89fMwoJ3bzMg5qFm8bnok9GcpiDtBLZDAu8nvbJaQheuHYkAEhqYbQs6HKwLPRumVRYIvHsFtoolDe2kBuTRr7DTkNK8OuREo+jx9u7zHdy6O0fcfOmZo62e/Nm5nzAs36Tacxifn35MLy78xDUxM+y3d9i9GPluHF8Lvplphh2/fd2HsK2+0vw8qY6JodlFjsyr0pYfAkXThksWxhxYoEPE57YaEmuHzXhxQ1qZtbQXbt9A+w20cQ6VgqiZuSPcqIgHdmmiQU+SXNeWbWfOW+a3jnODeZoJ2kKSRCymIRuXtwyIRfL/7lf9dimE+1YWl6DpG7GBfc1HW/HC/+oxUM/K5DM+SOF2gKv9NJFEvoSTi7Mli2MWFHb4BhnPzdEPfGG7pJvQOxh9cJjtMOukxZOLW0S/Z2WbdyLpeV7VM+td45zsrO503wuKXzeBorP4cvkevJ0wNDrr/ikDhMLfJhXks90PMsCL7506Snxiselp8SHDXK5sHInaWHMKJVhNLz94CbHfUI/ciVOxGSn6z8zrsSJiJHvsJUlWljR2qbVnx7kuo6eOW5yYTY23VeMVTPH4pmrirBq5lhsuq/YViHIiaH9JAjZgN278abvC5fOLs5XTE7Iu8BPLPAhqVuc4jHJ8XFM1eOdpIUxOqeJ1lxESvD0gy8tMSZD1c3odzfAYjadvWoH1jOWtWDFqHfYiQun1jZpSbqod45zWg4zHk2hVZBpzAb2H2GvEG8W3x47iTivB4umFshGOQjgW+A765Mpv+Ssql6n5Z4xSs1slnqfx0/r5OkAyqr9UeekqoQTzSpWwbL4BgTgjpU78aLXY1h/GPUOOzEnDmubttQ2YHx+VvBznk1wtObXcpK2X4Q0QhZTWlWPpeU1djcjuMtQMmllqJi5IjFygDsxs6xeNbOZ6n2l/oqk+Xi7beYEO3CiWUUPvJotngXFSM2KUe+wExdO1mvNWhk+vni1O3Y7NJuBk7T9IiQIWYioTrWbMxK74XRHAJtrjuD9ykP4yv8dmiXyzvAumEYPcCeWB9CqZrZCvS/XX2Zdzw1YaVaxwvRWWlWPCU9sxIzlWzBndSVmLN+CCU9sVHxHeRYUo00SRrzDTlw4Wa/VdCJ8DlXzNxTxpSVGZWoBwJk+l2QasxAjivIZwXdtp3Hdq9tUj+MN4TTDnOWmzLJKWKXeF/vrtc11irmi7A6jtwqr+t0K05vWSBvxvWSde4zWrOh9h51mJmdpUygCwudQtQjbeSWDMLt4oOvmOFacGNpPGiELKav2290Ebngc18wyZznN2U8LVqr347weZHVXL5hr1PWcjBX9boXpTY9mK87rwdTh7MKYGZoVPe+wE83koW1iob75JJZt7HSJkNOSZacn4cVrR2JOSb4r5zgenKbtJ42QRXQEBKypNDYqQ4mM5HhD63+xLhROzl1hJ7zqfb2J45xoTrADs/vBjKSBUujRbHUEBHywi00YszsNhBxK80pnGaIEvF95yFKNsdim+e9+zjTXLi2vwdm+7phcmB01mm49OKkPSBCyiG11jWhsPWXZ9Z6/eiS8Xg827/0Pln1Uq/t8PAuFUwa4k7LQ8qj3lcwsrP3qRHOCHZjdD1aZ3vRotnhM8k52zo2cV7LOSMS2ugbc/5fPNRcXNqJN3ZPicc3LW5mODxWKKcu6czLNkyBkEWph5UYhTuxjv1c/G2H60LJLtHuAW+GzwSNosdrFy6r9sn4gt7+5Axkp8WEFVeXuSbyeXPZw3tQIbsVsfwSrTJ56NFus1755fK5rNLa7vm7Cn/71b3zXdrrLd1ZnJx57Vk9mH6xY8MtzI+QjZBGN37WZfg2pid0I08eVP+6LbXWNTNEwTkhaZ4XPhpboHTW7+MQCn6ofSGRVeT33tPPgUe7fuBEz/RGsMkHqibRhvXYJQ6JTOwl9517dvF9SCAKsj4rk9cGKdr88N0IaIYvITE0w9HxnJHbDGYlx8Lf8IGBJ+eHwRoxI8don+/H0hh9yH8lpIZyQtM4Knw09dXKUzIZq9dWkkLsnllQNf/i4DsPP7IFLhrlDC6AHs8y1Vpkg9Wi2osFMKvfOycFrkmTV7kodV1btx0sf1zHfS7T75bkREoQswpeebOj5Ruf1wPJfnKv68qqZSFiIdASUWvCdUkTPbJ8NIwQtObOh1p2i1D2x+oUsfL8Kkwr1OfK6BTPMtVaGAmsNRHBiuDIPLCVC5GCtY8aygZM6zpeWiJOnA0xtc4PAGauQIGQRRmhmQtn1dTMAME3skwuzMa8k37CM1pELPr7/f7MjZ1gw22fDTEFL704x9J5Y76+h9RRXW53kgO4UrIyU1KrZclo0J8840pN/Te2dYt3AyR7Xwufy4GSBM5YhQcgi4rweLJwyGHes3GnI+XgXsNnF+Vi17WvDnLYj8ws5pRYQqzCRdUYiKmobuBd0MwUtniRtUoTeO49QxdpWJ5g+nYqVkZJaNVtOiebkHUdaNy1qQR6s2t3ic3pr1kiJZKTE4/HLh8b8e+JUSBCykB6pbEnuWOGZINQKrEbCmoeIpw1WOAmy+ENkpMTjrj9Vhu3mWBd0M51jWbLOypGREh826Y/Oy0RmajwaW9WfIUtbnWL6dDJmR0oaoY1zQjQn7zjSqilV076wanf/WLFftyb/hnHuiciLRbiixnJzc+HxeLr8mzVrVvCYiooKFBcXIzU1FWlpaTj//PNx4sQJxXM8/vjjwe/3798veY0tW7aEteWdd97BOeecg6SkJAwdOhTr168P+14QBPzqV79CdnY2kpOTUVJSgpoae4udfviFsZmleScIpYymv796ZFgx0eevGcncBicl71PLQisAOHq8vYtKmzX6yuw6Oaz1wiK58by8sEk/zuvBo9MKVX/H0lYr63UR0miJUnQaWscRa30ukYyUeLzIIJizbswONB5nvLI8b//ra13vhxOicaMZLo3Qp59+io6OjuDfVVVVmDhxIq644goAnULQ5MmTsWDBAjz33HPo1q0bdu3aBa83XN565JFHMHPmzODf3bt373Kt8vJyDBkyJPh3z54/7GI++eQTzJgxA0uWLMGll16KlStXYvr06dixYwcKCzsn/9/85jd49tln8frrryMvLw8LFy7EpEmTUF1djaQk6732OwICVn160JBzSTndse4WpZKSQQCOtHYKBpcOy0Gc14OOgMAVaeKkqBQlf4gT7R1dQtABPkdnsx1PQ5+Rv+UkFq/9QlGzk5ESj9nFA7t8fsmwHNz27yb8QSaixcPYVquSBhLSRIs2Tus4YtWUZqTE48bz8pjrdLFuzPpnpjAdp4Se94NM0ubDJQj96Ec/Cvv78ccfx4ABA3DBBRcAAObNm4df/vKXmD9/fvCYs88+u8t5unfvDp9POWdFz549ZY955plnMHnyZNxzzz0AgMWLF6OsrAzLli3Diy++CEEQ8PTTT+PBBx/EtGnTAABvvPEGevfujTVr1uCqq65iv2mD2FLbgJPtAcPOF7qA8b4oonq8tKoed7+zS/Z3PAu+06JSpPwhAgEB17winwGWdUG3wvE01ISRHO9VNGk+fvlQ2b5dcEkBhp/ZAw++XxWW2ZxnIrWyTpocVjpp672WkW21qoSHFegZR3LvXGZqPC4r6oOSAp9qP0c+l1H9ezBt4K4bl4uXN9Vp9t1Tui81okUIdjqafYROnTqFN998E3feeSc8Hg++/fZbbN26Fddccw3OO+881NbW4pxzzsFjjz2GCRMmhP328ccfx+LFi9GvXz9cffXVmDdvHrp1C2/K1KlTcfLkSQwaNAj33nsvpk6dGvyuoqICd955Z9jxkyZNwpo1awAAdXV18Pv9KCkpCX6fnp6OMWPGoKKiQlYQamtrQ1vbDyaTlpYWTX0jRcW+I4acJzM1Hr++7AenO60vCuvv1BZ8cXJpOx3A3JJ8rNp2UDW3kRVILUZrP2Or9cYyYZnpeBrZ9okFPjx/9UjNwswlw7IxqVB7W+02fWrZEWsVRvTuvo3evUeTNk7vONLzzsk9l6nDs/HSx3WKG7iEbl7FjR6rcMT7fkSTEOx0NAtCa9asQVNTE2644QYAwL59+wAAixYtwpNPPomioiK88cYbuOiii1BVVYX8/HwAwC9/+UuMHDkSmZmZ+OSTT7BgwQLU19fjd7/7HQDgjDPOwFNPPYXx48fD6/Xi3XffxfTp07FmzZqgMOT3+9G7d++w9vTu3Rt+vz/4vfiZ3DFSLFmyBA8//LDWLlFB/0DtmZqAigUXIaFbp6lR64vC87vJhdkoPqc3/lixHwcaj6N/ZgquG5eLhG5embwaSZhXMgi5WSmOi0q56tx+TL9nnbDMcDyVantGSjyA8KzSmanxWDhlMPPiqqetLNFsZhXr1CLoaxVG9O6+zdi9O0EbZxRGJHbUMo6VnstLH9fh1vPz8MGuekXtrnLR18FYvG63Ia4BoQL8kWNtUSMEOx3NgtArr7yCiy++GDk5OQCAQKDT7HPbbbfhxhtvBACMGDECGzZswKuvvoolS5YAQJgmZ9iwYUhISMBtt92GJUuWIDExEVlZWWHHnHvuufjmm2/w29/+NkwrZAYLFiwIu3ZLSwv69u1ryLnHDeiJZR/t1XWO68b2DxMqtO4WeX7XfOJUl5f/5U11wZ1U5It/uOUkni7fgxeuHWnLy6k06T1dvgcZKfFoPt7uCF+mSOTaLuXTdLS1HbNW7sQLXo/p2jYWH40T7R0oq/Yb2hYtgr5WYYTVkVdu923W7t0ObZxZZkg7EjuyPJcPdtXj/+65ENsPHFW8ZyWNlNfr0X1fUgI8C24Qgp2OplpjBw4cQHl5OW655ZbgZ9nZnZNLQUFB2LGDBw/GwYPyTsJjxozB6dOnsX//fsVj9u79QYjw+Xw4fPhw2DGHDx8O+hSJ/1U6RorExESkpaWF/TOKsWf1DO7stfL0hpqwSBGtu0XW35V/XwA08sWsbz6JP0gIQYB09IeWiAetv1FbzMSJSiqiDLAv4Rlv9lzWaC2jok3EHXG6zBhuPt5uWB03ER6BHdAX3caStK+++SSWbZSOPOVtKytmRylGYnZ0mpl136RgfS7bDxzFuAE9Ma2oD8Z9X7BaClEjFXmc3vuSq4/IApXs0I8mjdCKFSvQq1cvTJkyJfhZbm4ucnJy8NVXX4Udu2fPHlx88cWy56qsrITX60WvXr0UjxEFLQAYN24cNmzYgLlz5wY/Kysrw7hx4wAAeXl58Pl82LBhA4qKigB0ane2bt2K//3f/+W5VcOI83pw5Y/PlI3gYaU+ZGerNXlg1hls+Yz+UnlIk3OgmkZJzUyh1bTBMukdPd6OeSX5WP3p147IsCuiJXuummrcaH+ViQU+LPrgC9m2GO2zwCvo6/GnYb3W0vIanO3r3qX/zDJhWalFscox18rEjlaaFrXel9YSInZrsKMJbkEoEAhgxYoVuP7668McnD0eD+655x489NBDGD58OIqKivD666/jyy+/xJ///GcAnU7OW7duxYUXXoju3bujoqIC8+bNw7XXXosePXoAAF5//XUkJCRgxIgRAID33nsPr776Kl5++eXgtebMmYMLLrgATz31FKZMmYLVq1fjX//6F1566aVgW+bOnYtHH30U+fn5wfD5nJwcTJ8+XXNn6aEjIOCDXcbsqgR0Ljj/d8+Fqr4bGcnduiQP7JESr2oiykxNQEOIY64Wyqv9eHXz/i7XqG8+idvf3IGbx+d2ifbQMxmzTma5WanYdF+x7Rl2Q9EzEUv9Vqkfb39zB24an4uJDJE2oXSG88uXFDDaZ4HXLKRn0ePZVUsJe2aasKyIUrTaMdeqxI5mPJdQ02Fo+hFxHuG9Ly2bILs12NEGtyBUXl6OgwcP4qabbury3dy5c3Hy5EnMmzcPjY2NGD58OMrKyjBgwAAAnaan1atXY9GiRWhra0NeXh7mzZvXJQJs8eLFOHDgALp164ZzzjkHb7/9Nn7+858Hvz/vvPOwcuVKPPjgg7j//vuRn5+PNWvWBHMIAcC9996L1tZW3HrrrWhqasKECRNQWlpqSw4hQF+9HClEda6a70bTidPAidNhnx0N8TmR22VOK8rBq5v362qjmkbplc378crm/UEtxcQCn67JmGfSszvDbiR61NuRv2UxEb26eT9eDel7J4bR8zrX6ln0eGoBSgl7Zld4N0uLIi7qm/f+Jyodc41+Lmp+PFo0rlreF7s12NGGRxAESlEpQ0tLC9LT09Hc3KzbX+j9ykOYs7rSmIZ9z+wLB2LexEEoq/Zj/nufSzrVqpGREh/2OzEp2Y/791DMuaMEr0ZJnMrnlgzC0vI9qsevmjlWcjLuCAiY8MRG1Ulv033FjttFqbVdCrn7qahtwIzlW+R/GHEOAExmD9bzyj0fLZRW1eP273MoSRGaQVjv81e7VijPXFWEaUV9uvxeKt8TTx9biRbnXKn7djpGPRc5LWsoWp4163u1cMpgZHVPdIQG2w3wrN+anKUJfsxwaFv20V5MeGIjAgEBSd3iNJ3DAwFzL8pHRvIPIdpLy/fgrnd2ISMlXjXoX87peFpRDnMbhO//Lf9nLdPxcjsotfIagHNVyUptl0Lpfnh2mDwlMqx23OVF7/OfXJiNeSWDmK4l9T5b7QisB63OuVL37fTyD0Y8F1Y/Hi0lZ462qlewz05Pwg3j81SduQltkEZIASM1Qh0BASMXf4jmCDOVXngSemk9r5z5TCr/hqgaTk9OYNZK8KKmcXBzSnqptvdIiYeA8DB6pfvh0QiFwqLJsVLrIWp45BZrOQ2PnuffERAw/vENsr5QLFpFK7Nga0GtX6Uwo6+tRiqztFrIvIiWd4rlfWJ9Fr+/eiQuGeas/nQ6POs3VZ+3kNMm7JTMkmJFn5yMlHgkdvPKZou+d/JgyUlfrVaZFljt+VZGpRiNXNsBMN8PSwJEKVgzaks57qZ/b1KdWKBcOocHrVFgep5/nNeDRVOHKAp7alpFp/mfRcLrryh3324r/xD6XEqr6nHBbz9iFuC0+PGw/Ib1WfRITeC+PsEOCUIWsa2uEa1tHeoHOggx3PytW8bA6/FILipykz5roUReWE1bRi5GVu/w5drOej9a+57VfCsKGss21mDF5v1oOtEeNKmu/vSgYdoA1sVn897/dHkmep6/FVFadsK7qEvdt5vLP2gR4LS4NrD8Jpoyh7sZEoQsws0D+ch3baoOklLCgtyCopVbz8+zfBFyk+o/FLHv7/9LeH0yOXqmJnD59pRV+/F0eY2p2gDWxWfZR7V4d8chQ5+Jm7WKarD26+wLB2L8wCzJ+3ZrDTStAhyPlpUnEs3uOn5EJyQIWYSbB7Ja29WEBXFBKfs+r5AWxFT4904ebNli5DbVfySTC7Nx4lQH5v1pl+qx04pymPtVrzaAVcPGs/iY8UycbuLSCmtI+byJg2THBOvGzt98AhW1DfA3n0Bj6ylknpEIX5p9QqVWAY5Vy8oblGF22gWCDRKELGJ0XiYS4jw41eEe33SWl5BVWBg3oCfGDeiJ0XmZzFqKUKzeYbpZ9R+KLz2Z6Tge3x492gAeDRuPic9Nz8RujMhWzbqxW7xut+S7bpdWVY8pikXDzWs+taP+GtEVCp+3EK8LB7PSS6ilttPkwmxsWXARUhO1hftHTlBmhe6aVTvKatRC3gH+kHeti4lcyLYoNEfWs+oICEhPTsBN43PRI1W9Tp9dz8Tp4eNS6A0pZxlXAGQ3PGJ2+WfKayztL72mqMmF2dh0XzFWzRyLZ64qwlu3jMEfbxyN2RcOwOwLB+LJK4ZzBwy4Ke1CtEIaIYvYVteIk+0Bu5vBxdySQbpre8mpmePjvAD4ncdDJygz/XeixYnRjB2nlsXk1OkA7v/L58waNqlne0ZiHL5jCDiw8pm41YcM0B9dZ0QwxNLyPVi17QAWTR1iWKkQpfsxwhQVGX0W+vyXfbRX0/OPZp80N0AaIYswanL2oNOx9amfD0NmagJT8j2t5GalKH6vVVjYVtfInQU7Mlkfr3aBl2hyYjR6x8mbWLG0qh5jl2xAY6v8Mw8VmuWeLYsQBFj3TMweg1YgV01dDSVtXSaD9i4Uf0ubIf1VWlWPCU9sxIzlWzBndSVmLN+CCU9sDJ5XFJIuKfTJCkEA+8bA6Oev9VkQ+iGNkEUYNTkLABpaTyGnRwp+fVmh4eHpoai1WauwoEUoFAAsnFIQzFFktv9OtDkxGrnj5NEysZQlCMXffAK/+ftXmsaz3mfCkyYhWnzItCClBctMTcD0ohxMLPDB33IS896u5D6vnv5S81WUSv7q9QChVjke/56OgID577FrOAlnQ4KQRfAUdWTh22MnMa2oj6Hh6SKsC4pWYUGrULh4XTW8XiA9OcH00N1odGI0MgqKJdcOa1mCUBpbT2kay3qfCa+Jy63h43qREziOtp7Cis37MTovE740/vdbT3+x+Cr+4eO6rt99/+VN43MxscDHtTFYtrFGUasdrc8/WiHTmEXEeT2YOtw4nwFRmAh13vvFuP66z8uzoGit7cTqaBmJuLsrq/YzHa/XHElOjMpEOo6umjkWm+4rDvYLTwZj0ZyWeUYi0/FibTwRPc+Ex8QhOkb/jdHs4XQfMh5YgyNG9e+B7HRtmx0t/cWbKVtE1Nz8rcrPJQR1BASsYEwDEk3PP5ohjZBFdAQEvF+p32dASssSutN/o+IA1/lSE+PCMl6LO/qJBT5U1DaomglYs/BGmh0WTinArJXS2hY5DYI4cb1f+Q3TvRlhjiQnRmWUtEz+Fr5FQKxRx8Lz14yUzXbOA4+Jq6zaz619dYMPGSusWrDtB44Gtam8Jk4t/aVH2NCiudlW14imE2w+jtH0/KMZEoQsYltdI/fCEImSlqUjICAgCMhIjmd+ST0A0pLi8dK1P8aR1rbgglJW7e9SCFDJTKAmLMiZHaTs9pmpCWhQyDEk+khlpsbjaGu7Jf470ZpYz0xKq+qxeO0XTMdmpsbj15cNDZrTWMytY88yxpmUdXFftnEvni7fw7ywu82HTAlxE8OjBdNitudN4yBihLDhbznJtPED2AWv1IQ4w56/0wv5uh0ShCzCCBVpRko8llw+tIswIiVosCBO8l6vJ1hCQ2s2ZTlhQel8L31ch+evHoEeqYnBF9zffIIpE/JlRX3w6ub9rvHfiaWJjMdBumdqAioWXISEbp1Weqt9s1jfyxWb67iEIMCeMWj0OCutqseiD74IK7qsRqjZfmKBD69trsPidbtVf3fVuf00tVVrkeFQFq/9IiyqUWnjxyp4eQx69G5O0eAWSBCyCCN2LYndvF2SdfFG5UghLgZGR8KwnG/xut3YdF9x8HwVtQ1MbS4p8OHcvExXFMaMpYmM1UFaHD2PXVYYFILE36cnJ+DG8blYU/lNWEI+M54t63vJqmUF7BuDRo+z0qp63P7mDubj5cz2Wd3Z/L7U0nWISAl7enMaRaZ2UNr4jc7LRGZqgmp2/O/aOnQ7S7u9zI9bIEHIIsRoCj3mMX9LW9iLpSUqRwpxMdATCSM1OWk5H0skWu+0RAQEAW2nA3jyiuGAgDDTnpM0LbwTmds1R6yOq5mpCXjsssKwe5cOy47HZUV9UMIZ1cMKy3hLZzQ3/2Jcf1xcmG3LMzN6wRTDw1lR0oIZmZNLSdgzMoJWaeMX5/VgelEOU91EPZaAWE7RYDUkCFlEnNeDRVMLuHZYUoS+WFqjJUIJtcvrKZ0gNTldXMiWaj70fGqmEQHAydMBXPPy1rBrPfSzAsv8eFiFFd6JLBo0R6xj6MEpg7sIQdJh2e14dfN+nGuScMFiirtxfC6Wlteonuvi72vqWY0ZC+aW2gaupKdSWjDxPfE3n0BmagKOtp7S5dPHIuxtuq8Y2+oasXnvESz7aC9z+6VQ2vhNLPAxCUJ6LAGxmqLBDih83kImF2bj91eP0JUNOvTFMsLvKHQHp2XnphR6zFppPvK6cmHr6SmdIdORE7SVmXzVsteGwjORRUOW4o6AgCPH2HxJQovBaqlZZyRqaRJmF+dzZdK2GjPq4lXsO8J03E8LendJmwCEvyfz/rQLjQpCEKDuT8U6RgBg3ICemDdxkGqKjvQkNj2A1DwrahLlMGJMREuZHzdAgpDF9EhN1GzKykyND3ux9Ow2vB7g91eHq8t5Syew7ESVNqBKk0WX4oY3j0FSN+lCrVYslgB/Sn3WCcrfchKLPrBPEDACceFTc4qVeuZOKHCrlBNJa74sqzBnwWS7l0G9u3cpByH6FrFoq1nzP/GOkdBnJsf5g7JU2wdIz7Pi+T0wb0xEU5kfp0OCkMXokd4fnVYoWUBQy6u2bMYIXDKsqxqbpw4Py+Qkrt2sk0VoJe9tdY0YnZeJaUV94PV6FP2rzF4stWgtWCeozTX/se3ejKicLicgRiL3zJ2y81Wq9eTk5Jo8Cybr82Y1tUj5Cqr5FmWmxmPplV0TcCqhZYxMLszGrefnyR7718/8yEiJ16zpkxsTPVLj8fzVI3SPCd6NKaEd8hGyGK3S+23n5+GSYTlhn2mpAO31iELQD+eS8k1hqcPDOjndPD4X66v8qtFdSj4ybacDTNcya7E0y/E7IyUef95xiKkNRt+bET5JPA77ctFUbtn5quXLstrRPeiD03ISmanxskVtRR+co62nmPODjT2rJzJS4hX9hHqkxGPsWeGC0LKNe1V9ixpb2+FLS+Lya2F99lkhmck7AgI+2KVsUj51OhDUXmtJ1TC5MBuBAPDg+1XBKLLG1nYsXrcbXq9HlzAUjWV+nAoJQhZztJU9H4fI9ef1x4JLCiQnWrnMznIEhE7znIicAyJLHR7WyamkwIf7pxQoLhJqjpBzS/KZrmXWYqllR8oykfHoX4y8N6OijFgd9hdOGYwbxudJTtpuKnCrlC/LSkd31txhYm9PHZ6NWSvZn3ec14PHLx+qGNyx5PKhXbS5f/i4lqn9vEI9a66gu/5UiUVTh2ByYTbT2Dx+qjOrvsfzw5wHsKdAKK2q5+pXXlgz9xP6IEHIQjoCAlNisUh+OtinOtFOLPBhadlXWPaR+kTEkzfob1V+PDBFetfBs4ApZWdmaceqbQfhS0vC4RZ7FkutWgulieyqc/thafkepvMaqQI3MsqIdUHL6p4oey6373ytzvXCkzvMl56EhVMGY/G63dzPe3JhNl68diQWfVAdZrqVE/CWbdwbFCzU4BXqWbXfh1vagn3OqkUGftB+3zw+lzlVg1Xh7VTmx3zIR8hCtIa7f7q/UdVJN87rwfiBP2I6n5a8QVIY5UTK0g5/SxtmjO6n+1pa0WOvl3PEZU0gBxh7b0Y6Jxtl1nKyD44SVke8qZkiPejM1r30f4YHx1mP1ETNz3tyYTY2z5cvrBvarhWb65juISM5XpNQL46R3grV7YXv/93/l8+RyVi3TsQDYD1HAVat75EWvzwl/zVCP6QRshCtPh6vfbKfadfBa2IwwknVCNUtaztys1JsUxPr1VpIacRYhYh5JYMMvTfW/i6v9qv6cRhp1nLKzpfH18fqXC8s12toPQVfenLwenrfc5ZaezyFSG8cn6v5mU4uzEb3xHhc88pWxeMaW9sx50+VyEiJR/Nx6ZqEkfA+Ky39Gg25wqIREoQsRKuPh9IEE/ny8izWRu7m9SxgPO0YN6CnbYul0fZ6Fr8HX1oiZhcP1NHqrrD2918qD+F+GbOoiNFmLbsL3PIuVFZHvGm5nhXO6DyFSGcXs/n7yXGE0c8ytAQGazAJwH4vvP1K5TKcCwlCFqKlOKBa5IaI+PLyLNaj+vfoEh0WidfTeZwaehYwXq2C1LWsitgxUmvBIkQsmjrElLISLLWSGlvbmXbH0eLQqWWhsjriTcv1rHBGZ23XreefpXs88/SlGJmZ2M3LXDiW9fw8/UrlMpwNCUIWErrwsTLurEz8reqw6nGhYaOsi/X2A0cVhSCgU0jafuCoqbt0vVoFq9XNRmot7BAizKiVZIVZi0XY1SoQa12orI5403I9K5zRWTZ5PVLidWuDWK8lIgA4erwdb90yBgAw660dshp23mfF068VtQ2OK5fh9rqGRkKCkMWIC9/9f/lcNu9HKCxCEIAuel+WxdopiewA7QKBG9TNahOOHb4xZtRKMtOsxSLs6hGItfr6WB3xpvV6ZgvcalFdHnQNtzfiWqwc+a4N04r64PH/Hhr8nRHPirVfnTTXAuSrFAkJQjYwscCHNZWHUMoq5DDAajcPJVSLpITZiexEQaHtdABP/nw44OmcuNQEAjeom1knHKvNfeKuWm7xd1LuHhZhF4AugVjPQmW1Vk/r9cwWuOXaZcYCy7uhFOcwM54VS786KWmoGzaPVkOCkMWUVtVj/nufc1V2ZmH/kePB/2dZQEur6rHogy8Uz2nFYiglKGSmJuDRaYVMkSpOUzeHomfCMXvHFrmrdmruHhZht3Mce3QJxHoXKqu1elqvZ7YzupX9MLkwG8Xn9MbYJRtk/d2k5jAz2qjWr05JGuqGzaMdkCBkITyJ0HhZ/elBzC4eiLJqP5MJQa0dViyGcu1obD2FO1buwMyvc/HAlCGyv3eaujkUPROOVTs2ud1xj9R4PDqt0BG7QtYcU0qwCMRGLFRWR7zZHWEnh5Xt2vjlYQQE6ZlMaQ6z41ktnDIYd6zc2eU7KzceTt882gUlVLQInppMWqhvPollG2tUEy+ytsPsRHYs7Vj+z/14bF217PdOUjdHoifZmpUJ+iYXZmPhlAJkpv6QfE6slVRaJV+nyYhirSwYKcQqncvpFeaJrogbBjntekZKvGPMPKVV9bJVBaxMGurkzaOdkEbIIrRmleZhxWb1xIvdk+KZ2vHkz4djfH6W4jF6fFhY+2P5P+swom8PXDKs6yThFHVzKGKf/E1BiAglcsKxesempVaSlY6WRgqxrNmt3Z4GIBZg2UgldvNiYoHPsjbJoaaBXzjFurHl5M2jnZAgZBFWSNgsiRcrahuYzqXmfK13MeTpj4XvV2FSYVcTktNqVLEWwgwlcsIxMuuzGlrMd1Y7WrIIu73TEgF4DKlD55Ts1oQyLBspf0ub7SYelpIoi9dVS85vZuDEzaMTINOYRZgpYYtJw9hgM2EcOdYma+4QF0MlE5yInAmFpz8aWk/J1r1ySo0quT6RQ642GU/WZ73mKF7zndVmO4DNZLVo6hAsmmqcWYvqOjkft5h4jKzrZwRkApaGNEIWoRaurBVxuN54Xh5TJfNxZ2Xhz9v/repgunjdbry8qa6LhqcjIGDRB2xaBCXH7YkFPqbsxiKiqUlqdz6xwIfuifGo2HcEQOciNvYs6xYwXv8vpQnH6KzPSvAuJnY5WrKarMisFZ1ImeDdYuJxosBGJuCukCBkEaFmHCPdSn0hgsXqTw+qqjybT7Tj5OkA07mlzB3LNtbA36K+GC7bWIOny2sUTSiPTivEHSvZkqK9UXEAb1QcYEqi9+6Of1v6QvP6fylNOGZkfZaDdzGxc1JnMVmRWYsfp2cXlk6vEY9HfjbEFSYepwps9K6EQ4KQhchJ4np44OJzgguqmr/M1OHZko6xckhpeJaW1zD9lsVxe9N9xbh5Qn+8sukAY4uMTaJnFKwL/y/G9cfFhdmqE44ZWZ+l4PUXsHtSZwl5dmpIuRNxenZh+fQa7Zi9uhITC3rB33zSEf6BchxlSHSbnZ6EQEDA+5WHLBVI6F35AfIRspjJhdnYdF8xVs0cixvP64/keH2P4JdvV2L9Z/XBc8v5yzx/9Qh8sKueWxslani27GvAw3+VD2WPhMVxe1tdI0oG8024ob4oiz74wlJ/FTlYF/6LC7OZfE5EAUUOOf8iXnj9BcR2ybVeT7usCscnOmH187PrubCYm8uqv8UtP8mz3T9Qjo6AIBsyH8qJU6dxzStbMWd1JWYs34IJT2xUTF1BGA9phGwgzutB84lTeO2TA7rNZAEBuGPlDrzo7Xzx5VSeesP31YoGakGrCUUUpFiOsSJqxOhIDCuzPvP4C5gVped0zUS0wRotGAh0RjTZ8VxY56v3dhxCxYKLsP3AUceZeFjvoenE6bC/Y7nUhV2QIGQDZiRXDA1zllJ5Kvn1sGH8TtAKu7gVTohmCAhWOjTy+AsY3S6qe2Q9rE7vUv57Vj0X1ve2ofUUth846kgTT1m1X9PvYrnUhV2QIGQDW/YZr11R0n6UVtVj8VrlumJKZKcnYdxZWVj2US3zbzJTE3C09RSThkRJm6IXq5wQ7SrmaBQ8/gJGtYvqHhkLq+Ozns0Bz3PR44jN894q3Y9dzuAdAQFrKr/R/PtYLXVhFyQIWUxpVT3mv/u5KeeWmhBKq+px+5tskVlyPPSzAowd0JNZYMlOT8LCKQWYtZJNQyKnTdGDHVEjdhRztAsj2kV1j4yDx7yod3PA8lz0mjs700jEc1WWN7oNethW18icGkQJu/MgxQrkLG0hwdo4Co7EeoicEDoCAua/p0/omlcyCJMLs8Mca5XwoFOwuWQYe6JDUZvSO80Y7Y2dUSOUjI8dJ+ZYcSM8CU4Bdad3Vr49dlLSmZq3PVLEeT14dFqh6nFyzvlGtEEPRo1Zu/MgxQqkEbIIM4uuymk/lm3cK1uQkAVfWiJmFw8M/q0W/h+52+LXkIT3TkZyN8Dj4b6H9JR4PH75UPItcTh2h+NHA1rMi2o+baxz1P4jrZjwxMZwU3BaEk6e7jDE3HnJsBxMrDyEsupvZY+ZOjy7y3n0mFyNMqXtP9LK/ZtQnJIHKVYgQcgi9EZtlQzuhfLdXScEOe1HR0DAis11mq/nQWfpgshJYHJhNorP6Y0/VuzH/objAAQUnZmBnB4pkpMGiwlFzmG2+cRpCAB+PrIP/rzjEHPbm3UIf4R1UN0j/Wg1Lyr5tC2cMhiL1+1WfC4ZKfGSOcXUgjJ4zJ0dAQFVh1oUj/lgVz3unTw4bN7R2idGmdJKq+pV862JfXj0eLuj8yDFCiQIWYReVemG3d/itvPz8MGueiZn3G11jZpNcKKPT3pyQpckX1KTRVnat5gxup+mXRTL7m3T3iPwpSXJFtWUgpxsnY/Tiua6ET3mRSWNrdfrUXwuejXbLO1m2TxKCTRa+sSo6EVxPmNhyeVDAYBKXTgAEoQswggHxXe2/xub77sIlV83GR4Zkpkaj4WXDoEvLQlHW9sk84dMHZ6Nlz6u6zpZtJwMq3PGs4ti2b35W9owr2QQni7fw6S6Jydb98Aabef0UhB2ode8KKexVXouV53bj6muoZb2hKJVyOPtEyOjF1k1/3O/970EQKUuHAAJQhZhRNHVxtZ2jH9iI359WSGmFfVRPJZH8PIA+PVlnT41pVX1mLVyZ5dJob75JP7wMZupjWcXxTrZ5WalcJcnISdbd6DmS0YJF+Ux07wo91zWfqY9LJynPVqFPN4+MTJ6kWc+E3FqZGgsQVFjFsEadaVGY+sp3P7mDqxXmYxYI0MyUxPw/NWdAotRDt08JS54JjuxPMnCKYOZf0O4A7loO7ujf5wOb5kULeePfC5a3yve9vCUdAmNXttW14iFU9j7xMjoRQoAcCckCFnI5MJszCvJN+Rcs1ftDNYYk0JpggylsfUUFq+rRmlVvW6H7lBCd1FK8NavivN6cMP4PNNqXhHOQc1kAVhXT87JKNUYNCMDNMs72yMlHr60RF3tYRXyyqr9mPDERsxYviVYr2vxumrcej5bHTIjhRcz6/ER5uERBCG2ZxEFWlpakJ6ejubmZqSlpRlyzo6AgFGLywzLJfTitT9oc6RMC1JmhUjEl/am8bl4haHqOQ/PXFWkasYTd/2AtGOm1OSp5TeEu6iobcCM5VtUj1s1cyyZFmCtHxXL+2eU74uSaRSApJOzeJXnrx6BHqmJim3oCAiY8MRGVVPapvuKmdpPc5Mz4Fm/SRBSwAxByIhMz6H0SInHY9MLsXjdblkfio6AgC21DZi1Uj6ZowdAD8ZMrjywLlJa/EDIdyS6eb/yEOasrlQ9jkXYJozHyvdPSsgD0CWPUSg8AozRwgvNTfZDgpBBGC0IiTsPo+uMSRH5ArPurpVqhPHiS0vE5vkXcYXS8+4gKZooeiGNkPOx8/0zenwYLbzQ3GQvPOs3RY1ZiJE+OGpEhn2yOgROL8rBqwrmsdvOz8M72//NpDmaMbof14uvJXqCIi6iF0q46Hy0vn9GCAlGl2gxulYgzU3ugQQhC1HLumo0oQ7LrA6B6ckJit+P6NcD52SnY97blarnys1KZbqmFLSbshcn9D8lXIxOjNK8mBGh5SThRXwH/c0n0Nh6CplnJMKXRnOhGZAgZCGN37XZct1vj53EpcNyVHfXvdMSsWrbQdnziBqmJ68YznRdrSGi6z/7Bg++XxWmdcpMjcej0wpxybAcTeck2HGKf0NHQEB6cgJuGp+Lv1QeChsPlH3XnRiVwRmwRmOodUOgdyOhFORCvkbGQ4KQhfz76HFbrturexLT7nrG6H6KNXJEDRMEmDYBLVlfLZm4sbG1HXes3Inb/t2EBZfoz8dESGPkQqW3HZELQWZqAqYX5WBigY92xS7EyAzOgPkaQ6kxmJEcjxvH52F28UDZ8+rdSMi9gyL1Fr+LsQDlEbKIjoCANZXaM7JqITJnhVq+EVZT1pHWNsOSuIUmQnu6bI9q9uo/fFynmD+J0I5T8vbIJVE82noKKzbvR/OJUyQESRD6LlXUNjguvxJPBmc5Iu9xYoHPlBxKcmOw6UQ7lpbvwahHyySTeaolAF3/2TeKz4gnqS3l0DIO0ghZxLa6Rhy1sCq6nECi5BBYUdvAdO5e3ZMwbkBPphpRSrDkOJJi4ftVmFSovGt0go+LGk5ro5GlBrRitNZA7hpO6ncjcIo5Uwm9zs1K97jpvmLDnimLMNJ0vB23v7kjmMdN7XfiZ7NX7USo7BL5jFgDaqieorGQIGQRVte9UhJI5BwCeWzuov/GvZPO1uTIp6b+VaKh9ZTiBOCGRcGJbTQ6CkcLZgtjWvrd6YKTU8yZarD6DGalJqKitiGsv8uq/ZbdI090b6hQzvK7SAVOZPt5362/fa+VctqYdBskCFlE1hmJ6gcx0CMlHkePt8tWYb95fC5KNPpQsNrcy6r9sosJqzls/nuf68pVpLRrdPqi4NQ2OqFOkpnCmJZ+d6LAGooVGjSjGJ2XiYyUeDTJaMY9ANJT4nHXO7vCImx9aUk4ebrDsnvkGVuhQrmWMRnZft53642KA3ij4oCjxqQbIR8hqzDAlDv7woH414MT8furR6BHanzYd9npSXjx2pFY+LMhYUUreVHzIwKguwjmso01spMhK1IThlN8XJRwchudUCfJLGFMS7+7oeCrEX43VlFW7Vd87wV0mpwi04z4W06q/s7Ie+QdW6IApHWDENp+8R3kxUlj0o2QIGQRR1r1h86PH5iFsmo/Fq/bHRFanoCFU4zbDYhV3lfNHItnrirCqpljsem+Ykws8HEvJpHOjadOB7BCZz0zucXYDYuCk9todiVzFswSxnj73ckCayhOMGeyIPanEh6dw8qoe+QVRkQBaFT/HtDzanx77GTwHeQ9jZPGpBshQcgi9JoTeqTE42hrm2w0zayVxu4GRD+iaUV9ghom3sWktKq+S1XosUvKdRWc9UB+MTZ6UTAjCsfpC5fVlcwjMUsY4+13JwusoTjBnMkCi/+M3mJPRt0jqzASKZRvP3C0iw8QD2L7xXeQVzPklDHpRrgEodzcXHg8ni7/Zs2aFTymoqICxcXFSE1NRVpaGs4//3ycOHFC8RyPP/542HU+++wz/OQnP0FSUhL69u2L3/zmN13a8s477+Ccc85BUlIShg4divXr14d9LwgCfvWrXyE7OxvJyckoKSlBTY18jhyz0aryFBEEAY+s3W3aDpVl0edZTOTMCnqKumakxCsuxkYuClJC3IQnNmoSNkP79sgxNs2gnQuXnEbQKv8DM4Qx3rHhdIFVxAnmTBbM7Ccz7lEcgxkp8ZLfSwnleu4xsv2h7+DS/xmOhVMG47qx/ZnOZfeYdCNcztKffvopOjo6gn9XVVVh4sSJuOKKKwB0CkGTJ0/GggUL8Nxzz6Fbt27YtWsXvN5weeuRRx7BzJkzg3937949+P8tLS346U9/ipKSErz44ov4/PPPcdNNNyEjIwO33norAOCTTz7BjBkzsGTJElx66aVYuXIlpk+fjh07dqCwsBAA8Jvf/AbPPvssXn/9deTl5WHhwoWYNGkSqqurkZRk/SIT6oisRVRpOnEaOHFa9ns90TSsDqE8UR93/3mXIYVbQ2lW8SsyKtOskc7MUn3r9XSNHgmlZ2oCRvXvwXR+s5CLLLQqgsrouk+8Y8NMXyWt9yT3WzeUITFLsDfzHsUxuGxjDVZs3h+myZaKytVzj1Ltj3wHK2ob8MctB1TPZbf2z43oqj4/d+5crF27FjU1NfB4PBg7diwmTpyIxYsXy/4mNzcXc+fOxdy5cyW/f+GFF/DAAw/A7/cjIaGz7tX8+fOxZs0afPnllwCAK6+8Eq2trVi7dm3wd2PHjkVRURFefPFFCIKAnJwc3HXXXbj77rsBAM3Nzejduzdee+01XHXVVUz3Z3T1eUB77hxWnrmqCNOK+nC1R2rRj6xeD3ROxBOe2Ki6mDx5xXBc8/JWLc1XRDz/pvuKFbO6/u+bOwBILwpqQox4j3LPh6UNkW3R8oI5MQpEOttzPC4r6qM5UtFKeMYG61hnGQeh19cagab2WzdEtyn1J9C5QRAE6bgSDzo1wondvPC3/KBVteoe1QTYjoCALfsaMOutHVymf68HWDZjJC4Zpt5+M8ZkNMOzfmv2ETp16hTefPNN3HTTTfB4PPj222+xdetW9OrVC+eddx569+6NCy64AJs2bery28cffxw9e/bEiBEj8Nvf/hanT/+g6aioqMD5558fFIIAYNKkSfjqq69w9OjR4DElJSVh55w0aRIqKioAAHV1dfD7/WHHpKenY8yYMcFjpGhra0NLS0vYP6OZXJiN/7vnQkwvMqdmFs9ugNchlNV/44hJNdVYbOB6zSpG+YawJGVTmqucFgWiZOp8ZfN+XaZDq+AZG0b7KumJQGP5rd3mTDXU+tMDYOZP8mS/B4Allw/F5vkX2XKPUj6TIqIZ/ZqXt3L7Py6bMYJJCBLbYHcwQ7SiOY/QmjVr0NTUhBtuuAEAsG/fPgDAokWL8OSTT6KoqAhvvPEGLrroIlRVVSE/Px8A8Mtf/hIjR45EZmYmPvnkEyxYsAD19fX43e9+BwDw+/3Iy8sLu1bv3r2D3/Xo0QN+vz/4Wegxfr8/eFzo76SOkWLJkiV4+OGHtXQHM1o1QqkJXpxoD8iaVLTU99KSvE5cTJQySrNmqM5MTUBj6ynm9oqo2cD1mFWM8g1hTa7WPakbjp3savJ0Ug4Y1rT/dudBYiF0bPhbTqLxuzZkpiYgPTkBHQGhSxZ2vdnTAX25fnh/6+Qswyz9OaJfD9X+tvseQ7VD+48cx9Ple1TfjUhzuFZNllFjkghHsyD0yiuv4OKLL0ZOTqdmIxAIAABuu+023HjjjQCAESNGYMOGDXj11VexZMkSAMCdd94ZPMewYcOQkJCA2267DUuWLEFiojFJB7WyYMGCsPa1tLSgb9++hp1fj6mk9VRA9Rje3UB5tbxQGErkoq8maLD6Y/zfPRfijxX7sXjdbuY2A2xaL62LglG+IawClZQQJOKUNPo8af9ZhTc7szXHeT1oPnEKvyn9UtWUZISvkp5s2U4oe2Ikav1ptG+Y0fBuZDNS4vH8jJE4Ny8T2w8cNeSenN5HbkSTIHTgwAGUl5fjvffeC36Wnd05eRQUhFcGHzx4MA4ePCh7rjFjxuD06dPYv38/zj77bPh8Phw+fDjsGPFvn88X/K/UMaHfi5+J7RL/Lioqkm1LYmKiacIYTzE9XjwA5lw0EBMLfMy/Ka2qxyuM+XykFn0lQYPVgTOhmxdZ3dn7W4vWixejHK6NdFi0OwqE5/osC7Pd/iy8zvB6NS16tIxuiV7jQa0/narZ0rKRbTreDq/Xg4RuXkPvyal95FY0+QitWLECvXr1wpQpU4Kf5ebmIicnB1999VXYsXv27EH//vJhf5WVlfB6vejVqxcAYNy4cfj444/R3v6DrbWsrAxnn302evToETxmw4YNYecpKyvDuHHjAAB5eXnw+Xxhx7S0tGDr1q3BY6yGp34NLwKApzfsZfbRYEluBugLS2X1x+AVGMy2gRtlh2cJa85MlQ7NjcTuKBAt11crgWJXtmY7EiXq0TK6JU9QtKNnI+smITVW4RaEAoEAVqxYgeuvvx7duv2gUPJ4PLjnnnvw7LPP4s9//jP27t2LhQsX4ssvv8TNN98MoNPJ+emnn8auXbuwb98+vPXWW5g3bx6uvfbaoJBz9dVXIyEhATfffDO++OILvP3223jmmWfCTFZz5sxBaWkpnnrqKXz55ZdYtGgR/vWvf2H27NnBtsydOxePPvooPvjgA3z++ef4xS9+gZycHEyfPl1Pf2nGipeBdTHhMXXoETxYHDjVBAYRX1qiZb4nRuSxYRGoHp1W6IocMKzPKBQzSqAYkeDSjkSJenL9uCVPULSjZyNLQqrz4TaNlZeX4+DBg7jpppu6fDd37lycPHkS8+bNQ2NjI4YPH46ysjIMGDAAQKfpafXq1Vi0aBHa2tqQl5eHefPmhQk56enp+PDDDzFr1iyMGjUKWVlZ+NWvfhXMIQQA5513HlauXIkHH3wQ999/P/Lz87FmzZpgDiEAuPfee9Ha2opbb70VTU1NmDBhAkpLS23JIQRY8zKw+Gh0BARs3vsfpvPdND5Xt+DBogaXM6OJzCsZhNnFAy21gRthh1dzbJxY4EPNt99haXnXRJ9OigIJfUZqKJkO9fi7GGVOs8PUpCfXj1vyBEU7WsaDFaZ8whh05RGKdozMI8SSR8NIVs0cy7SY8J7DLFgWOjsdbPUg1e6yar/is3BSDhgRtfGjlqvp/cpDmLO6UvU6kbmweHJdqVFR24AZy7eoHmfG2DczjxBhLqzjJpLbzs/DgksK1A8kDIdn/dYcNUbwIe7sbmfYVRtB5A6Gx9HPjp2MmgZGaiHwpSVhxuh+yM1KcbRgFKkVU3sWdmjAWAh9RmXVfqyp/CYs/YFaCK8Wfxc9oedSqDnDA52hzkc1pHVQQ4+WkSKFzINlg8UybqR46eM6jOjXg4RVh0MaIQWMzizdERBQ8KtStJ1WD4XXS+iOVi1bcihadtlmwyrEuWGHzJq5+v/uudCwcFuz4NXQacmMa4YGh2U8eeCsd4AwBx5Nm1xmciUo27N9WJJZmuDnuQ01lghBkc6TPI5+VlUZZ3V85YnWcFo2ZilY/WTGLik3pOCrmShl25U7njcizwyfnsmF2Xj+6hGKmb0B46PHCGfBG8EoF0ShBFWEdwdkGrOIjoCA5Zv2WXItrYvJ7AsHYt7EQabvXHh2YTxCnJOyMcvB+iwaW8NT9bshazMLvJlxzQof75GaqFj41m2JCgk+tJpcI02UNYe/w7KP9qpej0LonQ0JQhaxra4RrW0dpl9nXskgzYvJ+IFZmoUHVjMJbzI73gnErgWM9f61Rg+6QchjhcffxagEl5FEY6JCgh09EYyhPn8VtQ1MghDLe+/WYJBogAQhi7BiQvWlJWJ28cAun7M4+mUkxyMgCF3qLbFQWlWPRR98EVYV2peWiEVTh4QJNVp2YfuPtHK1RcTKBYxHw6XV6RKILi0Fa2Zcs8LHKVFhbGOUIGyUoE5RgfZCPkIWYeaEKlZvXjR1COK8ni7+NwBkfTNEmk6045qXt3L7opRW1eP2N3eECUEA4G9pw+1v7sAz5XuC7dhS28CVzK4jIGDVNvnyLEpYtYDx+hko+cmwEmtaCiMSXEZCiQpjG6MEYSMy0dudbZ0gjZBljOrfQzZhoF4yUxPw2GWFmFyYrbizkPLNiKS++SRuf3MHUwh3R0DA/Pc+V2xbaLLAjGS2khLiQt9ZIbxN5ehwrAz91+NnIPUseqYmoIEhbDsWtRRGh49TosLYxkiTq56K8EanhyC0QYKQRWw/cNS0RIoPThkcFILU/G823VeMLbUNmLVyB5pOtEueDwCWlu/Bqm0Hupi3QtlS24Cm4/LniETpeqGICz2v5sPqBUyPn4HUwj6qfw9c8NuPDPeHcQJG+D8YXWhSzwLmVMjPhA2jBWGtgrqeOYQwDhKELMJMc4YvPZlrZ+H1epiEEn9Lm2KkUsW+I7rbHkpnIdIE+JtPoKK2AVlnsFemB6xfwPT6GUgt7NGopXCy/0M0JSp0cj87EaMFYR5BXRRY/8Zo9oo1c7jVkCBkEWaYM0I1BDw7C96XSl41a+xiIQBoaD2FeX/aBaDT4TojJR7Nx9tlNSSZqQl4cMpg+NKTLV/AzHC4dYqWwijNAm+UoB0YrWmyAzf0sxOxQxDmLXUExKY53EpIELKI0XmZ8KUlcvu8KCEAuOrcvgCAsmo/02/El53nGnKq2XEDejKFjkqRkRyvqpU63NIWnNjlNCSib5QdmBXabbeWwijNAvk/WAP1sz6sFIR5Sh0B7jaHuwmKGrOIOK8Hv7rU+OJ7S8trMP7xDfjTv/7NdLy4qCpFzEghpUUae1ZPZKSwOUBH8vw1I7Fq5lgsvbIImanS5xAn8YyUePROMy5iyCiMiBhROjdP1majMDKChUdLSUjDkoGd+tkd8GTJB9xtDncbpBGykJpvvzPlvKxapszU+KBmQfRFYUVKixTn9eDxy4dyFZIVdzhjz+pc3CtqG7pkUQ5FANB0vB1v3TwSXq/HcX4cTjFlGYHRmgVKWqgPVs2cnn4m52rr4MmSD7hzDnErJAhZREdAwKub62xtw2VFfYKTnFhvafaqnYqlBoBOXx051ezkwmy8eO1ILPqgGv4W5ZdcaofDOokfaW3DtKI+TMdahbiItJ0O4MkrhgNCZzvduqAYHcFCSQu1w+Pzo7WfybnaWljnul+M64+LC7NdOYe4FRKELGJbXSOaT5y2tQ0lBb6wv9XqLYnMGN1P8YWU8mk52noKi9epa0nculgqLSJudbw1WoNjlg9VtMOrmdPSz+RcbT2sc9jFhdmunUPcCglCFmGn+l9uwWFtU25WquoxUg6HkwrVHX7NWizNVPlH6yJitFBKSQu1wauZ4+1ncq62B9oYOBdylrYIuzQaSguO2doYFodfHodjFsdRoFNQmfDERsxYvgVzVldixvIt3KVD5FBbRIDORUSubU7GjLITZpTHiHa0aOZ4+pmcq+3BzOAKQh+kEbIIM8LnI8lIiUdSt7gwXx05h7uOgIBAQFAMY7dqh8LicMzqz2C2tiaaM8GapcGxOx2A29C6QWHtZ3Jit49oCq6IJkgQsog4rweLpg7hirDi5fHLhzJNhCwJvazeoShN4qzCjRUq/2hfRMyaqOVytVDUUlf0mFBYcuK41S8vWqCNgfMgQchCxAirO/+0C8dPdRh67nkl+cFFSmkiZE3oZccORWoS5xFutuxjr26vVVsTC4uIVRM1RS1JY7ZvlZqgBXRql8lXxTyiIZt5NEE+QhYzuTAbny+ahDkX5SOxmzHdn52ehNnF+arHidXilYSgjOR4vHXLGGy6rxgTC3xMPjlmwmqKWraxBrPeYtO26dHWmOFH40TMTuhoZOLGaMRM3ypR0FJ6m5uOtzNnq49WIn0ST50OWDofsvpEEvohjZANxHk9mDdxEH55UT7mrN6JtZ9pm/R5d4fLNtaoVotvOtEOr8eDsmq/I3brrELL0vIa5nPq0dZQJJR+KGqJDTM1cxMLfMhIiZedD2L5GXQEBCzbWIMVm/eH+U96PQhLN2LmfEjaUmshQchmth84qvm3POarjoCAFZv3M523vNqPVzfvl/XJef7qEeiRmhicnEf174HtB47KTtYsfiByxxhpYtLr/B2aQHFuySCs2naQyTGdCCeaHc6NxiwTyra6RsVNUaw+g9Kqesx/73PJvolUyJiVLiNa03M4GRKEbIQ35bpISkIclv/ix8EyFazXUityKvKn7V8rhodHZqNW2imx7GyUjplY4FP1Z+BBq7ZGqo2+tETMK8lHblYqOTxyEO0O526A9xnEglM7b0FUM7SXpC21BxKEbETrRH/8VAe8Hg/Xi8BzrWMnlR25I3dGcjulW8/Pw0sf1ynubACo7n6UTFGsk1ZGSjwev3yopp2U3AR5uKUNT5fX4IVrR8bUrlkv0eJw7mbhgOcZxIKZhrcgqojRmjPSltoDCUI2omei9zefQEVtA/MkbOWiIu5clv+zqxAU+v3Df62GIAiqx2y6r1g2pPuqc/thafke1TY9P2Mkxudncd8L7dCMJxoy7LpdOGCNHNuy7wie2bC3y3fRZqbRqp0XMUp7SdpSeyBByEZYJiM5Fq/bjcbWU8G/M5LjceP4XMwuzpdckEfnZSo6RxqNAEBQuClxZ6N2DnH3I+c4CgCrPz2ouqiO1bh7snqH5lYtA0+7ne5wrnYv0eDDofQMRJqOt0sKQYCxmwAnjHm9goVRG81o0Za6DRKEbCTO68HCKYNxx8qd3L8NFYKAzmivpeU1WPHJfs0mIKciTlJyjqNyfWjEomrlDs2tWgYt7XZqhl21e4kmDaHcM2DFiE2AU8a8VsHCaO1lNGhL3QjlEbKR0qp6LF6329BzNh1vl8zDohYl4mSUJimlPjQi54pVOzS35tXR0+7JhdnYdF8xVs0ci2euKsKqmWOx6b5iW4UgtXuJtjpd4jN465YxyEiO13QOrZsAJ415tfxgUpihvVSqRwZ0jq+FUyg9h9GQIGQT6z/7BrdLTAJGIKBr4U+rbcoedEaT6UUpOaHcRCqycIr+XaUVCRTdWsjViHabnbiRhY6AgM17j2D+u9LJRkPvJTRdghJu8uGI83rg9XiYo0oj0bIJcNqYZ0kyGTkyzSocLJdMU2TxumrHbozcCglCNvDXXd9g1ip+cxgPkbtSK23K4oQx8yd5XDssKeR2W2pRHh50Thh6J1IrKka7VcvA026nZsktrarHhCc24pqXtyoKAuK9NH7HVjTZbT4cWgU3rZsAN475Z2eMsEx7ObkwGwunDJb8zulaYjdCPkIWs2R9Nf7wcZ0l1wqd3PQ4ZqsRmUco1M8jJSGeKapLipvH58pONFY6MZvtz+LWSBHW9pRV+3Hnnypt9wOJhDdvDABkpiZEpQ+HVsFt6vBsTZsALWPeTKdqcWMlhwfAr9fvxqb7ii3RWnYEBFmTv9t80dwACUIWsv6zbywTgoDwyU3UbNz+Jls9LlYWThmM68blymaWzs1K0XzukgKf7HdWCw9mljtwa6QIa3telchobneElda8Mb70ZNn3yAkRb1rRulF66eM6jOjXg/sZ8o55s52qnZa/x2ntiXbINGYRHQEBD75fZdn1pFTWkwuzcdP4XEOvk9U9EQndvLJ+HloWbxa/GzuEB7P8WdxayJXFwdQj86Xdvk+8eWMin0FGSlfH4vSUeFeEzkuh5qSrhJZnyDPmrXCqtlsrG2k69jefsLU9sQYJQhaxra4Rja3WRW3J7UonKmhZtKAmaPBGY7Duqt0qPEhhhR+SGbAsniy5pOzwA+FZQEKfQVm1H//75g7JCMxml0Zliqg56Uqh9RmyjnkAljhV26mVFf3UZizfgjmrKzFj+RbmaGKnaYndCglCFsEruSd20/ZoMlLi8aLCrlRLmKgUrIIG706TNRLDrcKDHHKLkFmRKUahZfGMxI5dLc8CIj6DiQU+VXOaE6P7eIhMaTD7wgFMv9PyDFnGvFVO1XZtrOS0XUcj8sRZ1Z5YhXyELCLrjESu42+akIu3P/13l8SJaqiVkgjNKKsVXkFDztk4Oz0JC6cMDqtkz+N349SkfFox0w/JTELb7W8+0SXruRp27GpZS0w8P2Mkxn5vBq2obYgJv43QxKXPlNcw/UbrM1Qb81aZrOzIds6SQkAKN270nA4JQlbBuUnMTEnkFoIA4EirenivKEDMf/dzptwhGcnxYcdpETTMWuTdKjzIIZc92ynIRe6I7a6obWAet3ZGWLEsfI9fPjRsU2G3H4nVlFbV42mViE8jnqHSmLfSZGX1xorVTy0zNT7MrcKtGz0nQ4KQRbAIKCIeD/BN03FN1xEnBLVQ08mF2eieGI9rXtmqes7nrx4Jr9ejW9Awa5F3uvAQLbBE7vAKAXbuankXPrdG92mBNapOgLnP0OqSE1ZurFjflYWXDoEvLSkqNnpOhQQhi+CZHAUBWPHJAa7zh04IrKGmYwf0ZJpkxtqU8dcKnFDw0Q2wFhplHec9UxPw2GWFtu9qeRY+3kXZzWOLVVsxryTf1Gdoh8nKqo0V67viS0uijZ7JkCBkEeIkyhOy6/V0CkWsVrXQqBaWythOrwIeidELi1MKPjodnkKjLL43manxqFhwERI0BgQYDevCx/O+uH1ssWorcrNSTW5J9PkCilCBVefgjJkoBgiNcmIlIPyw0Khx6/l5ilEtcqGmbolWkgoxnfDERs05RJxU8NHp8ETuqEXzeQD8+rKhjhGCeGF5X6JhbGk1A5pVSsVpBXqNINoiX90MaYQsZHJhNm4en4tXJDLtynHT+Fys/9yvWOzRA+CDXfU4f1AvTVEtTnc4ZjXLAGxaIx4Nh1P6wE54nYSjdQcvovS+RMvY0qKtMFsLFo2+gNH+rrgFEoQspqTAxyUITSzw4aJzeis6NYsCTkVtA9M5pRY2p04yPAtLWbWfaSKm9PV8aNEORAoLWWckAkJn0EBFbYOjBG0tyL0v0TK2eM3mPJsVIhynb0RjARKELOZoa1uXiUWOjJR4jM7LxNrPvmE8O5sa2k1RLawLy7MbavDMhq45T6Qm4lgLg9aLVl8GUVgorarH3e/scq2/jAiLtjGaxhartiJatGB24tSNaKxAgpCFlFbVY9bKnczOzzeel4c4r4dZcBl3Vhbe3XEoqpzvyqv9TMc9KyEEAdITcSyFQRtBnNeDhVMG446VO7t8p+bLEC2aAlazT7SNLRZtRbRowYjYxZ0eiy6Et9p1enI3zC4eCICtLIbXAzSfOBVVznelVfXMZkSlfo1Mwx9NdcqsoLSqXrb2kZJTPUvmXDeUpOBxfo7GsaVWbDiatGBEbEKCkEXwVru+aXxecMIRd+RKy0VAAGZ9v2N3QxSYGuIiaiTiREzRGuzICQEiC6fIm7esqhNlJrzCXCyOLVbt1pFjbY4Xes2GJ6rOrAg8oitkGrMI3t1QaH4OpR15JA//tRqb7it2tfNdR0DAa5vruARHFiKdeSlaQxk1LaYHwOJ11ZhUKO37EQ2aAi1mn1gbWyy5owBg8brdeHlTXVT2AQs8UXVuz0PlNkgQsoisVL6iq+KiLedjIUXkpCxljxcdPv3NJ9DYego9UhJw9PgpZKYmwJeebLvAJDUBGIGUOYKiNZTR6/sRDf4yWoW5iQU+dE+MR8W+IwA6TUtjz4rODO1KEWaRuM03zCh4fOWixa/OTZAgZBUc85+4aPP6FYnITd4sQkZmajwuK+qDku+zBFs5cfMIfbzImSMoWkMevRqdaMicq0WYk3rP3t3x76jezctpwSIxI4rM6aVMWMyr89/7HN0T43FuXiZF4NkACUIWceQ79qKrV53bD3FeDypqGzRpRqQmb1Yho7G1Ha9s3o9XNu+3VBXLK/R5APROSwTgweEWeZW81wMsmzHC1QuQXRO9Xo2O20q4SMErzMXybl7UsL62uU7RlG9kFJkbTEgs/qFNx9txzStbkZmagMbWU7LHUQSeOZCztEXwqP9zs1IA8PtOyEWkaNUsWVkSgMeZXFw2F00dgkVTpR1TRZbNGIlLhuXob6BNGF1ahAcjIqDcUsJFDh7n52iJktNDnNeDrO5sbgB6fcPcUsqE5z6VhCCt5yTUIUHIIkbnZSIzNYHpWFFo0uI7IbXD5o1YE7Fy8uZ5sUMXUbmFNiMlHvNKBmFSoc/oplqG3RO9URFQbq8TxSrM6Y2Si5YoISt8w9wkdJrhA+dkvzo3QqYxi4jzevDotELcsXKH4nGhO+zReZnISI5H04l21fNnJMfj8f8eKrm46Nk9WKWKZX2xF04ZjBtCUgsAP6jkl22swYrN+9F0oh1Nx9uxtHwPVn960FFqclackq3XqAgot/tisTjW6/GpcoOJhxUrfMPclMSRNaqOBTf41bkR0ghZyCXDsnHb+Xmy33sQvsOO83pw4/hcpnM/f428mcGI3YPZqlhWM0ykECRSVu3H0+U1XYRGp6nJWXFSDh63a3SMQi2xoFZNiN2aP6OxIpeSm1IzKPUHD27xq3MjJAhZzIJLCvD7q0cgMzU+7PNsGZ+J2cX5yEgJPzYUUUAYe5b8rkcUMvQQOnmbpcK/6ty+sjtIQH4CcJOanBWnTfRqQgChzacqGscuYL5vmNtSM8j1hxKRa4Rb/OrcCJnGbOCSYTmYVJjNFAkU5/Xg8cuHSkaisO4QQqN3eKdTD4DM1AT4m0+gorYBR1vbsHjdbkNV+Gph/WpmGDepyVlx20RPaIuSi8axK2Jmni43pmYQ+2PLvgbMemuHrMuD2Pb/u+dCbD9w1LFpAaIJEoRsgsdnYmKBD3NLBmHF5rqwl4fHT4M1z0ckAoCG1lOY96ddssfoCQ1WC+ufVzIIs4sHKk4ATtOeGIEbJ3qC36cqGsduKGb5hrk1NUOc14PxA7Pw+H93bm4B+bYndPO6Tvh1KyQI2QBPXhgpbUlGcjxuHJ+L2cX5XC966A4tMrP0v48ex/u76pnDN0PR6rzLUsJh9acHg8Vn5YhG7YlbJ3qCTxOy/8hxpnO6aexahdmlTMzM3xVrZVicjkcQBHcZny2kpaUF6enpaG5uRlpamiHn5K03I2cSEwDMK8lHblaqYS9psPxGy0ksXvsFGlvVo9UiWTVzLPMupqK2ATOWb9F9zo6AgAlPbFTVnmy6r9h1gkM0RRMR4bAkOXXz2LUKMwQWq947p2fFdjM86zdphCxEKevs7W/uCAo2WWckIhAQMP/dzxWdKJeW1wQ/M+IlFdXYFbUNmoQggE+Fb5RZIJq1J1QPLTphTXIqwL1j1yqMNr9ZmR2cp+0kNJkHCUIWwRIdEirY8GLkS6rHH4FHhW+kSSuaVc1uz8FDdIU1yem8knxXj1234ZT8XZGQZthcSBCyCK3ZnVnR85JG7jSyzmBLkR9Jz9SEYLFYlp2L0Q7BpD0h3ALrZiM3K9XklhChODGKL5br11kFCUIWYUXUh5aXVGqn4UtLREZKPJqPt3OF208rykFZtZ9552KGSYu0J4QbiEYH/2jAaVF8TtVQRRuUUNEirJzQWF9SuYy2h1va0PS9EMTzaqUnJ3BnyHV7UU6C0IIRBW0J43GagOqkDPPRDGmELEKc+Mw0j4mwvKQsO430lHgkdYuDv0W9zb60RKzadlDRB+qud3YhNb4bzsvPkqwVRiYtIlaIVgd/tzv0Oi1/l9M0VNEKCUIWIU58t7+pXHRVL5mp8RjVv4fqcSw7jabj7Xjr5pHwej0or/bjlc37uxwnTnEzRvdTdfZubevAdSu2ISMlHo9fHl4glkxaRKwRbQ7+0eDQ6zQB1WkaqmiFyzSWm5sLj8fT5d+sWbOCx1RUVKC4uBipqalIS0vD+eefjxMnTnQ5V1tbG4qKiuDxeFBZWRn8fP/+/ZLX2LIlPN/MO++8g3POOQdJSUkYOnQo1q9fH/a9IAj41a9+hezsbCQnJ6OkpAQ1NdqjsoxgcmE25pXka/59Rko85lyUDw/kTVaNre244LcfqRZqZN1BHGltw7gBPbHwZ0Pw4rUju9QsE01YPE6dTcfbcbsLi0kS7sCsWnhmXDdaCtpGU+FYJ5nryYRqDVwaoU8//RQdHR3Bv6uqqjBx4kRcccUVADqFoMmTJ2PBggV47rnn0K1bN+zatQteb1d5695770VOTg527ZIu3VBeXo4hQ4YE/+7Z8wdtwSeffIIZM2ZgyZIluPTSS7Fy5UpMnz4dO3bsQGFhIQDgN7/5DZ599lm8/vrryMvLw8KFCzFp0iRUV1cjKck+6Xl2cT5Wbj2Iw8famH8jvgSiFmVwdnfFUhlq0QQdAQFHGK8futNQMmFV1DYw34/Iog++ICc/wlDs0kroua7btaHR6NDrFHO90zRU0YquzNJz587F2rVrUVNTA4/Hg7Fjx2LixIlYvHix4u/+9re/4c4778S7776LIUOGYOfOnSgqKgLQqRHKy8sL+yySK6+8Eq2trVi7dm3ws7Fjx6KoqAgvvvgiBEFATk4O7rrrLtx9990AgObmZvTu3RuvvfYarrrqKqb7Myuz9Pz3PkfTcfaEhVIT6qnTAYxdskG2JIZcRlq1Aqdqv5dDLbuzHDyZqAlCCaVM7ABM283bdV2nYFSGeEKeaDA7Wo0lmaVPnTqFN998E3feeSc8Hg++/fZbbN26Fddccw3OO+881NbW4pxzzsFjjz2GCRMmBH93+PBhzJw5E2vWrEFKSors+adOnYqTJ09i0KBBuPfeezF16tTgdxUVFbjzzjvDjp80aRLWrFkDAKirq4Pf70dJSUnw+/T0dIwZMwYVFRWyglBbWxva2n7QlLS0tHD1iRpqKfXPSIzDlT/ui+LBvQGh0ywltxPZfuCoYl0wqVB6lpT+gLadRujOhQdy8jMetzusasEurUQ0akN4IYde83GKhipa0SwIrVmzBk1NTbjhhhsAAPv27QMALFq0CE8++SSKiorwxhtv4KKLLkJVVRXy8/MhCAJuuOEG3H777fjxj3+M/fv3dznvGWecgaeeegrjx4+H1+vFu+++i+nTp2PNmjVBYcjv96N3795hv+vduzf8fn/we/EzuWOkWLJkCR5++GFN/aEGS0r97knxuH8Km/DBO/mwpvQH1J01Q2uSNX7XhszUBPjSkzGxwIcXrh2J+//yOXOJjlhw8rNSMInGnSNL/9mVCM+JCfisxgkOvbEg/LvdhOpkNAtCr7zyCi6++GLk5OQAAAKBAADgtttuw4033ggAGDFiBDZs2IBXX30VS5YswXPPPYdjx45hwYIFsufNysoK0/ace+65+Oabb/Db3/42TCtkBgsWLAi7dktLC/r27WvIuVkyS/NMmDyTT0dAwGub65hC9xdOGYwbxufJTiJKpjVxwd2yoAQjF3+I79o6JM7wA760xC5OftE2oVkpmERjBlrW/rNLK0HaEPtDzqNR+CesRVNCxQMHDqC8vBy33HJL8LPs7M4BV1BQEHbs4MGDcfDgQQDAxo0bUVFRgcTERHTr1g0DBw4EAPz4xz/G9ddfL3u9MWPGYO/evcG/fT4fDh8+HHbM4cOH4fP5gt+Ln8kdI0ViYiLS0tLC/hkF60T4+3/sxSv/3IdTpwOKx7FGExxtbcOEJzZi8brdTNfP6p6oKARJRYaI1H+/4D714ZeqQhAALJo6pIv/0oQnNmLG8i2Ys7oSM5ZvwYQnNroq4iQUKyNpWGrZPfzXassiqIyAp//s0ko4QRtiN6JZHOgazWq2Q280RasR9qFJEFqxYgV69eqFKVOmBD/Lzc1FTk4Ovvrqq7Bj9+zZg/79+wMAnn32WezatQuVlZWorKwMhry//fbbeOyxx2SvV1lZGRS0AGDcuHHYsGFD2DFlZWUYN24cACAvLw8+ny/smJaWFmzdujV4jNWwToT/rDmCxet245yFf8Nj66plw3FZJp+pw7Mxa+VOriSOcu3kqZa9/J91isd4APz+6nDtRLRNaFYLJtGWgZa3/+wKM6bw5k7sCDm3U/i3K0UDYQ7cprFAIIAVK1bg+uuvR7duP/zc4/HgnnvuwUMPPYThw4ejqKgIr7/+Or788kv8+c9/BgD069cv7FxnnHEGAGDAgAE488wzAQCvv/46EhISMGLECADAe++9h1dffRUvv/xy8Hdz5szBBRdcgKeeegpTpkzB6tWr8a9//QsvvfRSsC1z587Fo48+ivz8/GD4fE5ODqZPn857y4agpj6OJCB0ChShQkWkulcpIdvCKQVYvI7NJwhQV1/zFI1VmxMEAD1SE4J/R6PDqdW+I9FkomEx5Ub2n11hxhTe/ANWO/Ta5Z9Fprjog1sQKi8vx8GDB3HTTTd1+W7u3Lk4efIk5s2bh8bGRgwfPhxlZWUYMGAA1zUWL16MAwcOoFu3bjjnnHPw9ttv4+c//3nw+/POOw8rV67Egw8+iPvvvx/5+flYs2ZNMIcQ0JmnqLW1FbfeeiuampowYcIElJaW2pZDyIjM0lK+HnKTD4/gwjJhm+lbEY0Op1YLJm410UT6hB1tbcPidbuZx25o/9mVqTnaMkTrwUqHXjuE/2j0wyM0CEI//elPoZR6aP78+Zg/fz7TuXJzc7uc6/rrr1f0FxK54oorgokcpfB4PHjkkUfwyCOPMLXFCiYW+JCREs+VQygUOe2I1OTjb+6azVsOlgnbTN+KaNJmiFgtmNjtsKoF1pxWSkT2n11hxhTebD1Wv2PRqLkmOqFaYxayra5RsxAkwqIdKa2qZ3aOvm5sP4zs1wPpyQnoCAiyLzCPac/rkTePSS3IbtVmKGG1YMJiolk4ZbBjFmrWnFZyKPWfXWHGFN5sLVa/Y6ya66VlezB+YBYJwi5Ck7M0oQ0jNRpS5+oICHimvAa3v7lDMdmiiNcD/HHLQcz70y7VCK1Q52wlPABm/iRPsh6anAnOLQ6nPA6SdkTSKDms3np+Hhav2+2IiDyenFZSxJrvDSGN1e8Y6/y97KO9prxf5KBtHrpKbEQ7RpfYYE1Fz0JkuvrSqnos+uAL+FvYa5hFwlISgCWP0OTCbG6HQlFDAEhrM+y2vWt1kLTDsbKr380pzFrpnBIQet8DckwlQrHqHeMdt0a+X+SgzQ/P+k2CkAJGC0Ja63GF4gHQOy0RT/1PEY581xZ0MJ21cidXhJjcsSw1xuQyS0eqgnmTIzr1ZddbS8rOJJHimJNT6fPWlDOC9ysPYc7qSk2/VUv4ScQmVrxjWuZvI96vWK9lpxUShAzCrKKrenwjAHRxuFbyydGKXQUSnZZZ2omCBA9OLIipRSPk9H6Odpz2XtqFnOZaDa3vl9vnHzuxpOgqoY3Jhdm49fw8/OFj5aSDSkQ6XJthKrYrQovV4dSqidntof1OjMjjzalFPkH24lRNrR3IpUpQQ+v75fb5xy2QIGQxpVX1uoQgPXgAZKYmoIHBkdrJEVpWTsxOFCR4cGJEnlKEmxSxmI/HKVDenK5MLsxG8Tm9MXbJBqagFED7++X2+cctkCBkIR0BAYs++MLWNiyeVojF66pdlW8mFKsnZicKEjw4Nb+Q3M46+/us6D1SE2LeDGM3lDdHnu0HjjILQXoiXt0+/7gFEoQspNPBWHtUlx5CNSZeL1xZEsCOidmpggQrTi4BQUkInQ2ZZeTh0cDwvF+RJv9R/Xu4ev5xCyQIWYhd6sufDfPh6atGBl9Gt5YEsGNiZhEkrjq3H9Z+9o1jF3InP29KQuhcyCwjD6sGZl7JoC7vl5x/o5zJf+rwbLz0cZ3jNjLRBAlCFmKX+vJfB5q6fObG3bhdE7OcIJGREg8BwNLyPcHPnOpE6sbnTdgLmWXkYXH496UlYnbxwLDP1IQdKZP/Sx/X4dbz8/DBrnrHbWSiBRKELGR0XiZ8aYmWm8fktCRu243bOTFHChL7j7RiaXlNl+Oc7ETqtudN2IvbzcJmwqIpXjR1SNhGQ86/sb75pGwAjWjy/2BXPf7vngux/cBR2siYAJXYsJA4rweLpg6x5drRoL62uxSHKEhcOiwHqz/9WvIYcZJ7+K/VlAKfcDV2lIlxE0olbSI3QnrKyogm/+0HjmLcgJ6YVtQH4wb0jNl+NwPSCFnM5MJsvHjtSMx/73PdBVgBIC2pG1pOnlY9LhrU105x/CUnUiJWcLJ/mRNgNTmrzRksRMNm1qmQIGQD4suzpbYBFfuOQACwcutBHOUUjDwAHr98mCPD4c1KeOiEiZmcSIlYgvzLlGExORsxF0TDZtapkCBkE3FeD8bnZ2F8fhYqahvw/Ee1XL/3pSVi0dQhlobDswo3Zic8tHtiJidSItYg/zJ96JkLYtkXyypIEHIAvLuFeSWDMLt4oKXh8KzCjVUJD+2cmMmJVD9Uu4qIJVjLylCIvD2QIOQAWHcLPVMT8NhlhZKChJlaElbhJlYy0TrFV8mtUO0qItZgmTOkQuQzUxMwrSgH6ckJ6AgINKeYBFWfV8CM6vOhiLtif/MJLF63G0dbT8nuFjJT47FlQQkSulkb6MdT/XhbXaPjKp2bCS3o/MgJ1eL07sS0A7ECaenMR23OEJ9BebUff6k8hMbWdsnjCHWo+rwLkHohpBCnoV9fNtQwIYhnwuOJkIo1J2K7fZXcRqxoDN0ICfXWoDZnxHk9aD5xCq9u3k+Fbi2EBCEbkNsVS2F0NBTvhMcj3MSiEzE5kbJjV9oB0nQoQxXmrUVpzqDNgj2QIGQxLIm1MlPjsfDSIfClGTtpa5nweISbo61t8HoAuTyC5EQc29ihMSRNhzIsC++iD75A96R4HPmujQRJk6EcZfZAgpDFsCTWamxthy8tyfBdsZadBmuE1NHWNsxauVNVy0VOxLGL1RpD0nSow7Lw+lvacM3LW4OfkSBpHrHmXuAUqMSGxdg10Hl2GqGwpNlfOKUAi9ftVhSCvB7g+atp4YllrCyRoib4A+aXQekICKiobcD7lYdQUdvgyJIrWuYZUZAsrao3oUWxTSy6FzgBEoQshnUAZyYnGDqJ6hHA1Grq9EhNUNVyBQSgR2oCe4OJqMPK2lVaBX+jKK2qx4QnNmLG8i2Ys7oSM5ZvwYQnNjpOeNCyoFI9PfOwu55irEKmMYthTax1/WvbwnxtMlPj8ei0QlwyLEfTdfcfOc50XFZqouTnStEO71ceYjo3qXMJq0qk2GlicJNJjnU+ioR8VcyBcpTZAwlCFqM00EOJ3Gg1trbjjpU7cdu/m7DgkgKua5ZW1ePp8j1Mx971zi4smiq9IMlFO2hR51IkT+xiRdoBu0wMbov6YZ2P5KDNjfE4oZ6iEtE4d5MgZAPiQF/0wRfwt7Rx/fYPH9dh+Jk9cMkwtpeBJUotlMMt/LtW3pITFMlDmJ12wK4yKG6M+pFbeFkgXxVzcGqOsmidu8lHyCYmF2bjqf8p0vTbhe9XMdvmWaLUQtFi/+fx/RDNBpFtIgdMwkis9EcKxa1RP5MLs7HpvmKsmjkWz1xVhLduHgNfGpuvihucwt2IuFmYVtQH4wb0dIQQFK1zNwlCNnLkOz5tkEhD6ylmJ08tE64WR1I1h2qWWmQAOWASxsEyJo3GzVE/oQvv+PwsLJqqLkiWVftd4RRO6CPa524yjdmInsmQVcCx4hoiaupcN5oNzCYa7e1OwmoTg10mOTNQ81UB4BqncEIf0T53kyBkI1ojNgB2AceKa4Si5PvhVrOBWUSrvd1pWFkGJdqifuQESQCY8MRG1ziFE/qI9rmbTGM2ouTHoERGSjzzjlLLNczKVeFms4HRRLO9PdaxwyRnJlK+Klv2NdiapylWscsfK9rnbtII2YyWiI0bz8vj2mXxXMPMXWs0mQ304LYQa4Ifp0b9GEFpVT3mv/s507Fu1RA4ETs1yNE+d5Mg5ADESXPLvgbMemsHmk60yx6bkRKP2cUDNV8jdGI+2tqGxet2W5arItrMBlqJdns70YmVJjmrkEsWKYdbNQROoiMgYNnGGiwtr+nynVX+WNE+d5Mg5BDivB6MH5iFx/97KP73zR0ApJObPX75UM2DTWpinlSYrbhrNdqZ18nJwqxyXI52ezsRnfDkJHO7hsAplFbVY9EH1fC3SM8FVmqQnTx364UEIYchDrb5732OpuPhmqGMlHjDr6e0azVLFetEs4GVaudot7cT0QlvTjI3awicAKv2zUoNshPnbiMgQchGlDQQzce7mseaj7cbpgZV036YXS/JSWYDq2tDRbu9nYhOWDWUGSnxePzyoa7WENgNb0UAwDoNspPmbqMgQcgm5DQQC6cMxuJ1u011pFXTfsSSM6/ee9ViTot2ezsRnbBqKJ+fMRLj87NMbk10w6t9A0iDrAcShGxASQNxx8qdir/VqwZl0X50T4qPGWdePY7LesxpEwt8mFsyCCs214U5x0eDvZ2ITlg1mWNdPic4AR7tDmmQ9UOCkMWwpCpnQYsalEX7seC9zxEQ2FoSDc68Wh2X9ZjTpASojOR43Dg+F7OL80kTRDgS0mRaB692h/pdH5RQ0WK0qDyl0KIGZdF+HD3ejuYTp01rg9PQ4risp+6OXCLF5hPteLq8BmXVftamE4TlRFuySKciat/URBtfWiL1uwGQRshi9GpRWNWgUr4rRmlwokkVq8VxWas5LZZ8r4joJVojh5yEkvZNZF7JIMwuHkj9bgAkCFkMjxZFq/pZznflqnP78jVWgWhRxWpR92s1p1EiRSJaiMbIIachl7eH6hEaDwlCFsOqgVg4pQCL1/EnrlLyXVlaXoOMlHg0H2/nLsAqEo2hsbyJwrTmAaJEigRB8EDaN2sgQchiWDUQkwuzMamQ7wVgMb2EXkuLMBStobE8E47WPECUSJEgCF5I+2Y+5CxtA6wOh1JVn5VgMb00HW/HlGHZ8EScyusBUhLiZJ3zxIr00Rway9rfojALoEt/KZkv1RwgxT6OBt8rgiAIt0AaIZswQ+XJalJZ+1l9l88CAnD8VAcAZd8kAKiobYC/5SQav2tDZmoCfOnJMaeu1VJ3h8KPCYIgnAcJQjZitMpTr0nFg04foMRuXvhb2oKfi4s7AEx4YqOk1ikWHfi0CLPRXLiQIAjCjXgEgTF7XgzS0tKC9PR0NDc3Iy0tze7mqNIREDDhiY2yviusvHXLGHg9nrDFvazar1oA0ANQTgtGrKp0TxCEs6G5wBx41m/SCEURaqYXVuHoyHdtmFbUJ/g3awFAAZQHhxVygCQIQj7LfB7lCLIQcpaOMpQcseeV5DOdI9LExpMNW8yDQxAEQcgjl2W+6UQ7lpbvwahHy1Ba1dWfkzAe0ghFIXK+KwCw+tOvucO+efPaUB4cgiAIeVi07E3H23H7mzvwIrkbmA5phKIUqVBwrWHfvE7YR461SdbZIgiCIPi07HJ1CwnjIEEoxtBSNHFU/x7ITE1gvsbidbtx7mNlWP/ZN7rbSxAEEW3waM3J3cB8yDQWg/CEfYvOfI2tp7iu0djajjtW7sRt/27CgksKjGo6QRCE6+HVspO7gbmQIGQTdodMskQtydUt4+EPH9dh+Jk9cMkwsnGrYfeYIAjCGsQs86zmMSq7Yy4kCNmAXHV4JyXUY3HmS4n34nh7QPVcC9+vwqRCCqlXwg1jgiAIYwhNdaKWm00qgIUwFvIRshi5kEl/80n875s7bAuX7AgIqKhtwPuVh1BR24AttQ2quxUWIQgAGlpPkY1bAbvGROQzJ4dMwklE+/gU/TUzUuIlv6eyO9ZBGiELUasODwDz3/0c3ZPiMfYs9SKrRiGX1MtIyMYtjdqY8MCcJJWkgSKcTKyMT9Ffc9nGGqzYvB9NJ9qD31HZHeugEhsKGF1io6K2ATOWb2E61qqXXq8fUPekOBw72aF63KqZYymTsgSsY8LI/pN75qKYRWVSCDuJ1fFJPoLGwrN+k2nMQni0IlaYylhLZ0jhQaewtmT6UNVjs8nGLQvrmDBKo8ailaS8JYRdxPL4lMr9RlgDCUIWwuP5b8VLz5PUK5RQ2/WlRX1w2/l5iseSjVse1jFhVNSI2jMXQHlLCPug8UnYAQlCFjI6LxO+tETm481+6f3NJ5iOS08KdyWLTL644JIC/P7qkV2SLmYrJGkkOhHDaOXERFHzZpRGzWoNFEHwQOOTsANylraQOK8HM0b3w9LyGq7fmfXSsyZJnF2cj8I+6Yq260uGZWNSIVuSRuIHQsNoPUCYScCMqBGrNVAEwQONT8IOSBCymNysVO7fmPXSZ57Bpp3K6p7I5KjLkqSR6IoYRhsZJWNG1IiogeItvEsQVkDjk7ADEoQshleoMdPR2JfG1hbW44wmlqIoeMqe6MFqDRTBRyyNeSlofBJ2QIKQxRxtbeM6XstLzzqZsqR51yOI6ZnUYyWPSChWadSs1EAR7MTimJeCxidhNVx5hHJzc3HgwIEun99xxx14/vnnAQAVFRV44IEHsHXrVsTFxaGoqAh///vfkZycHPabtrY2jBkzBrt27cLOnTtRVFQU/O6zzz7DrFmz8Omnn+JHP/oR/t//+3+49957w37/zjvvYOHChdi/fz/y8/PxxBNP4JJLLgl+LwgCHnroISxfvhxNTU0YP348XnjhBeTn57PeruF5hDoCAiY8sZE5UuvG83Lx0NQhXNfgnUzFnB2A9O5Lq7Oznkk9VvOIWE2sax+cBI35rtD4JPRgWh6hTz/9FPX19cF/ZWVlAIArrrgCQKcQNHnyZPz0pz/Ftm3b8Omnn2L27Nnwerte5t5770VOTo5k43/605+if//+2L59O377299i0aJFeOmll4LHfPLJJ5gxYwZuvvlm7Ny5E9OnT8f06dNRVVUVPOY3v/kNnn32Wbz44ovYunUrUlNTMWnSJJw8aV+0AW+4+k+H+LjOr6VUg7j78qWHm78iI8PMbodILOcRsRrKW+IMaMxLY/T4jPaSHYR2dGWWnjt3LtauXYuamhp4PB6MHTsWEydOxOLFixV/97e//Q133nkn3n33XQwZMiRMI/TCCy/ggQcegN/vR0JCZzj2/PnzsWbNGnz55ZcAgCuvvBKtra1Yu3Zt8Jxjx45FUVERXnzxRQiCgJycHNx11124++67AQDNzc3o3bs3XnvtNVx11VVM92e0Ruj9ykOYs7qS6djs9CRsuq+Y+eVX0zaJToZy5zRq96W3HXZkWiYIO6Exbz5yZYRuHJ+H2cUDg3MRaaGiB0syS586dQpvvvkmbrrpJng8Hnz77bfYunUrevXqhfPOOw+9e/fGBRdcgE2bNoX97vDhw5g5cyb++Mc/IiUlpct5KyoqcP755weFIACYNGkSvvrqKxw9ejR4TElJSdjvJk2ahIqKCgBAXV0d/H5/2DHp6ekYM2ZM8Bgp2tra0NLSEvbPSHgcpU+0d6Cs2s98vN5EZEbtvvS2g/KIELEGjXlzkdNQN51ox9LyPRj1aBlKq+pRWlWPCU9sxIzlWzBndSVmLN+CCU9stK0QNmEdmgWhNWvWoKmpCTfccAMAYN++fQCARYsWYebMmSgtLcXIkSNx0UUXoaamM2+OIAi44YYbcPvtt+PHP/6x5Hn9fj969+4d9pn4t9/vVzwm9PvQ30kdI8WSJUuQnp4e/Ne3b1/VfuBBLXleKM3H27lKbPBMpmaqiPVO6pRHhIg1aMybB0sZoabj7bj9zR24XaM5n3A/mgWhV155BRdffHHQzycQCAAAbrvtNtx4440YMWIEli5dirPPPhuvvvoqAOC5557DsWPHsGDBAgOabjwLFixAc3Nz8N/XX39t6PnF0FAAqsIQr28A6yS5/8hxU3c9eid1qzMtE4Td0Jg3D61lhERi2UcrltAkCB04cADl5eW45ZZbgp9lZ3c61RYUFIQdO3jwYBw8eBAAsHHjRlRUVCAxMRHdunXDwIEDAQA//vGPcf311wMAfD4fDh8+HHYO8W+fz6d4TOj3ob+TOkaKxMREpKWlhf0zGjnnZCl4SmywTKYZKfF4unyPZidmFi2S3kk9zuvB1OHZijs4yiNCRBNKGyTKnaMPI8yJVN8s+tEkCK1YsQK9evXClClTgp/l5uYiJycHX331Vdixe/bsQf/+/QEAzz77LHbt2oXKykpUVlZi/fr1AIC3334bjz32GABg3Lhx+Pjjj9He3h48R1lZGc4++2z06NEjeMyGDRvCrlNWVoZx48YBAPLy8uDz+cKOaWlpwdatW4PH2MnEAh+evGI4flrQi+n4yJdZSihRm0xFwUJLZAqP7VzvpF5aVY+XPq6T/A4Abj0/L+bCiInox4zozVgkcm7MSmWv7agG+WhFL9wJFQOBAFasWIHrr78e3br98HOPx4N77rkHDz30EIYPH46ioiK8/vrr+PLLL/HnP/8ZANCvX7+wc51xxhkAgAEDBuDMM88EAFx99dV4+OGHcfPNN+O+++5DVVUVnnnmGSxdujT4uzlz5uCCCy7AU089hSlTpmD16tX417/+FQyx93g8mDt3Lh599FHk5+cjLy8PCxcuRE5ODqZPn857y4YiFb2gRqgZSS0/j1wisqvO7atY4yx01xMamSKX30TUIklN0loTorHY8z/YVY97Jw+m3TERdViVXTxakZobfWlJyEiJR9PxdoVfskE+WtELtyBUXl6OgwcP4qabbury3dy5c3Hy5EnMmzcPjY2NGD58OMrKyjBgwADm86enp+PDDz/ErFmzMGrUKGRlZeFXv/oVbr311uAx5513HlauXIkHH3wQ999/P/Lz87FmzRoUFhYGj7n33nvR2tqKW2+9FU1NTZgwYQJKS0uRlGTfYJYTKuSIrKvDKpRITaZrP/uG6Zqhux61/CYedGqRJhb4ukzWWiZ1Fnt+pLBG4a5ENEH1+rQhNzcebpGuWcYD1TeLfnTlEYp2jMwjxJtVOjKjrB35eazOb8KaZ+mZq4owragPlSQgCIJpbsxIiUdAENB84rTk94LE/4t/A7GZ2dvtWJJHiOCDN3oh0jdAb34eLU7MVuc3YVU9HznWhkf++gWFuxIEwTQ3Hj3ejt9fMwrzSvKRkRwf9r0vPQkvXjsSL5KPVsxCRVctglVY+MW4/ri4MLuLiUevUKKlqrPV+U1EYc3fLK/O9nqAxet2y55DzWRHEER0wTo3HvmuDXNKBmF2cb6sOZ18tGITEoQsglVYuLgwW9LMZIRQwuvErCaYGG07VxLWRFhSecg5fhMEoY7b/O5450YlPyy7fbTc1vfRAglCFqFFqAh9KbJSE+FLS5J1/mMVSlicmEOve9W5/fB0+R5mLZJe5IQ1r4dNCAqFwl0Jgg83+t1ZvWEzCzf2fbRAztIKGF10VYxsANQd8iSLBH4fBmqmQ5/cdQGEhaCa/YKGCmNHjrUpmsPkMLJIJe3UiGhHLvLKDQ7DPHOrE3Fz3zsVnvWbBCEFjBaEADapX+mlEIAueTGMEkrUrjuvJB+5WamWCwKs0WQiahF0vNBOjYh29EalOgG3vqfR0PdOhGf9JtOYxaiZplhy9yR18+KtW8bgyHdthgklLNdd/enXtryMPM7YRpvstCSUJAi3wROV6lS/O7cmpIyGvnc7JAjZgJJDHstL4W9pg9fjwbSiPoa1yaiX0QwTEks0mYha9moe9CSUJAg3YXWqDLOw29lZC9HS926GBCGHYddLYcR1zVJNs0ST3Tw+FyUFPkN3gLRTI4zADf5lVqfKIH6A+t5+SBByGHa9FHqva7YJSS6azEwfANqpEXpxi99KtEReuRHqe/shQchh2PVS6LmuVSYkq30AaKdG6MFN/mVaEq4SxkB9bz9UYsOBXHVuX1lhBND+UnQEBFTUNuD9ykOoqG1AR0hiHvFlDL0O63X1lv/gQfQBmFbUB+MG9DR1ctBSloQgAPXNAdC5OejgTY5lIqLWlcpMWA/1vb2QRshBSKnRQ9HjCMyioufNPC0SrSYk2qkRWnGrf5lbI6+iAep7+yBByCHIqdFF5pUMwuzigZpeCh4VvZaXMZpNSFqFQyK2cfPmwI2RV9EC9b09kCDkAJTU6ICYw+cgZhcPNPTccv47vC9jtDv70U6N4CWaNwcEEW2Qj5ADMNPHxgr/HT3+RW7BSt8kwv2QfxlBuAcShBxAWbWf6TgtanSjVPRKjtYAOfsRRCixsDkgiGiBTGM20xEQsKbyG6Zjaw4fQ0VtA5dZxggVPWsuFDIhEcQPkH8ZQbgDKrqqgBlFVyOpqG3AjOVbuH7Dk5BNLOin5r8jV0OMqiIThD7ckFmaIKINnvWbTGM2o8XcJUZ7lVbVqx6rR0XvxlwoBOE0yL+MIJwNCUI2s//Ice7f8AohWv13rEyUSBAEQRB2QD5CNtIRELBq20FNv+VNyKbFf8fNuVAIgiAIggUShGxkW10j/C36hAgeIYQ3PxDlQiEIgiCiHTKN2YgRmhQzhRDKhUIQBEFEOyQI2YgeIcYKIYRyoRAEQRDRDglCNqKmcZHDSiGEEiUSBEEQ0QzlEVLAijxCYp4eQLq6+a3n5+GDXfWqyQzNhnKhEARBEG6BZ/0mQUgBKwQhQD1zMwkhBEEQBMEOCUIGYZUgBJDGhSAIgiCMgmf9pvB5h8Ab2k4QBEEQhH7IWZogCIIgiJiFBCGCIAiCIGIWEoQIgiAIgohZSBAiCIIgCCJmIUGIIAiCIIiYhQQhgiAIgiBiFhKECIIgCIKIWUgQIgiCIAgiZiFBiCAIgiCImIUySysgVh9paWmxuSUEQRAEQbAirtssVcRIEFLg2LFjAIC+ffva3BKCIAiCIHg5duwY0tPTFY+hoqsKBAIBfPPNN+jevTs8ntgtgNrS0oK+ffvi66+/Nr34bDRB/aYd6jttUL9pg/pNO07tO0EQcOzYMeTk5MDrVfYCIo2QAl6vF2eeeabdzXAMaWlpjhroboH6TTvUd9qgftMG9Zt2nNh3apogEXKWJgiCIAgiZiFBiCAIgiCImIUEIUKVxMREPPTQQ0hMTLS7Ka6C+k071HfaoH7TBvWbdqKh78hZmiAIgiCImIU0QgRBEARBxCwkCBEEQRAEEbOQIEQQBEEQRMxCghBBEARBEDELCUIxyvPPP4/c3FwkJSVhzJgx2LZtm+LxTz/9NM4++2wkJyejb9++mDdvHk6ePKnrnG7E6H5btGgRPB5P2L9zzjnH7NuwHJ5+a29vxyOPPIIBAwYgKSkJw4cPR2lpqa5zuhmj+y4WxtzHH3+Mn/3sZ8jJyYHH48GaNWtUf/OPf/wDI0eORGJiIgYOHIjXXnutyzHRPubM6DdXjDeBiDlWr14tJCQkCK+++qrwxRdfCDNnzhQyMjKEw4cPSx7/1ltvCYmJicJbb70l1NXVCX//+9+F7OxsYd68eZrP6UbM6LeHHnpIGDJkiFBfXx/895///MeqW7IE3n679957hZycHGHdunVCbW2t8Pvf/15ISkoSduzYofmcbsWMvouFMbd+/XrhgQceEN577z0BgPCXv/xF8fh9+/YJKSkpwp133ilUV1cLzz33nBAXFyeUlpYGj4mFMWdGv7lhvJEgFIOMHj1amDVrVvDvjo4OIScnR1iyZInk8bNmzRKKi4vDPrvzzjuF8ePHaz6nGzGj3x566CFh+PDhprTXKfD2W3Z2trBs2bKwzy6//HLhmmuu0XxOt2JG38XCmAuFZUG/9957hSFDhoR9duWVVwqTJk0K/h0rY07EqH5zw3gj01iMcerUKWzfvh0lJSXBz7xeL0pKSlBRUSH5m/POOw/bt28PqoH37duH9evX45JLLtF8TrdhRr+J1NTUICcnB2eddRauueYaHDx40LwbsRgt/dbW1oakpKSwz5KTk7Fp0ybN53QjZvSdSDSPOS1UVFSE9TMATJo0KdjPsTLmeFHrNxGnjzcShGKMI0eOoKOjA7179w77vHfv3vD7/ZK/ufrqq/HII49gwoQJiI+Px4ABA/Bf//VfuP/++zWf022Y0W8AMGbMGLz22msoLS3FCy+8gLq6OvzkJz/BsWPHTL0fq9DSb5MmTcLvfvc71NTUIBAIoKysDO+99x7q6+s1n9ONmNF3QPSPOS34/X7Jfm5pacGJEydiZszxotZvgDvGGwlChCr/+Mc/8Otf/xq///3vsWPHDrz33ntYt24dFi9ebHfTHA1Lv1188cW44oorMGzYMEyaNAnr169HU1MT/vSnP9nYcnt55plnkJ+fj3POOQcJCQmYPXs2brzxRni9NF2pwdJ3NOYIK3HDeOtmdwMIa8nKykJcXBwOHz4c9vnhw4fh8/kkf7Nw4UJcd911uOWWWwAAQ4cORWtrK2699VY88MADms7pNszoN6mFPSMjA4MGDcLevXuNvwkb0NJvP/rRj7BmzRqcPHkSDQ0NyMnJwfz583HWWWdpPqcbMaPvpIi2MacFn88n2c9paWlITk5GXFxcTIw5XtT6TQonjjfaYsUYCQkJGDVqFDZs2BD8LBAIYMOGDRg3bpzkb44fP95l0Y6LiwMACIKg6Zxuw4x+k+K7775DbW0tsrOzDWq5vegZG0lJSejTpw9Onz6Nd999F9OmTdN9TjdhRt9JEW1jTgvjxo0L62cAKCsrC/ZzrIw5XtT6TQpHjje7vbUJ61m9erWQmJgovPbaa0J1dbVw6623ChkZGYLf7xcEQRCuu+46Yf78+cHjH3roIaF79+7CqlWrhH379gkffvihMGDAAOF//ud/mM8ZDZjRb3fddZfwj3/8Q6irqxM2b94slJSUCFlZWcK3335r+f2ZBW+/bdmyRXj33XeF2tpa4eOPPxaKi4uFvLw84ejRo8znjBbM6LtYGHPHjh0Tdu7cKezcuVMAIPzud78Tdu7cKRw4cEAQBEGYP3++cN111wWPF8PA77nnHmH37t3C888/Lxk+H+1jzox+c8N4I0EoRnnuueeEfv36CQkJCcLo0aOFLVu2BL+74IILhOuvvz74d3t7u7Bo0SJhwIABQlJSktC3b1/hjjvuCJtc1c4ZLRjdb1deeaWQnZ0tJCQkCH369BGuvPJKYe/evRbekTXw9Ns//vEPYfDgwUJiYqLQs2dP4brrrhMOHTrEdc5owui+i4Ux99FHHwkAuvwT++r6668XLrjggi6/KSoqEhISEoSzzjpLWLFiRZfzRvuYM6Pf3DDePIIgo6MnCIIgCIKIcshHiCAIgiCImIUEIYIgCIIgYhYShAiCIAiCiFlIECIIgiAIImYhQYggCIIgiJiFBCGCIAiCIGIWEoQIgiAIgohZSBAiCIIgCCJmIUGIIAiCIAjL+fjjj/Gzn/0MOTk58Hg8WLNmDfc5BEHAk08+iUGDBiExMRF9+vTBY489xnUOqj5PEARBEITltLa2Yvjw4bjppptw+eWXazrHnDlz8OGHH+LJJ5/E0KFD0djYiMbGRq5zUIkNgiAIgiBsxePx4C9/+QumT58e/KytrQ0PPPAAVq1ahaamJhQWFuKJJ57Af/3XfwEAdu/ejWHDhqGqqgpnn3225muTaYwgCIIgCMcxe/ZsVFRUYPXq1fjss89wxRVXYPLkyaipqQEA/PWvf8VZZ52FtWvXIi8vD7m5ubjlllu4NUIkCBEEQRAE4SgOHjyIFStW4J133sFPfvITDBgwAHfffTcmTJiAFStWAAD27duHAwcO4J133sEbb7yB1157Ddu3b8fPf/5zrmuRjxBBEARBEI7i888/R0dHBwYNGhT2eVtbG3r27AkACAQCaGtrwxtvvBE87pVXXsGoUaPw1VdfMZvLSBAiCIIgCMJRfPfdd4iLi8P27dsRFxcX9t0ZZ5wBAMjOzka3bt3ChKXBgwcD6NQokSBEEARBEIQrGTFiBDo6OvDtt9/iJz/5ieQx48ePx+nTp1FbW4sBAwYAAPbs2QMA6N+/P/O1KGqMIAiCIAjL+e6777B3714AnYLP7373O1x44YXIzMxEv379cO2112Lz5s146qmnMGLECPznP//Bhg0bMGzYMEyZMgWBQADnnnsuzjjjDDz99NMIBAKYNWsW0tLS8OGHHzK3gwQhgiAIgiAs5x//+AcuvPDCLp9ff/31eO2119De3o5HH30Ub7zxBg4dOoSsrCyMHTsWDz/8MIYOHQoA+Oabb/D//t//w4cffojU1FRcfPHFeOqpp5CZmcncDhKECIIgCIKIWSh8niAIgiCImIUEIYIgCIIgYhYShAiCIAiCiFlIECIIgiAIImYhQYggCIIgiJiFBCGCIAiCIGIWEoQIgiAIgohZSBAiCIIgCCJmIUGIIAiCIIiYhQQhgiAIgiBiFhKECIIgCIKIWf4/DPUcGdNNRf4AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN\n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))   \n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        barredSet = barredJettisonSet  #new 4/10/24 for MN, ban CCB jettisoning from ALL HD's, not just near ones\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c4c929d-0208-4785-aa15-5681a493a530",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "9a19b23e-43cc-4609-9ee7-6d1057a7a9e1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the stats prior to any equi-pop patching\n",
      "amped unit avg and sd usage are 1.00982 0.09345\n",
      "shed unit avg and sd usage are 1.0012 0.08895\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here are the final populations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 9178\n",
      "working on HD 600 out of 9178\n",
      "working on HD 1200 out of 9178\n",
      "working on HD 1800 out of 9178\n",
      "working on HD 2400 out of 9178\n",
      "working on HD 3000 out of 9178\n",
      "working on HD 3600 out of 9178\n",
      "working on HD 4200 out of 9178\n",
      "working on HD 4800 out of 9178\n",
      "working on HD 5400 out of 9178\n",
      "working on HD 6001 out of 9178\n",
      "working on HD 6601 out of 9178\n",
      "working on HD 7201 out of 9178\n",
      "working on HD 7801 out of 9178\n",
      "working on HD 8401 out of 9178\n",
      "working on HD 9001 out of 9178\n",
      "all done checking HD and complement contiguity for all 9178 HDs\n",
      "underpop contigFail, enclaveFail = 0 0 out of 437\n",
      "overpop contigFail, enclaveFail = 0 0 out of 831\n",
      "total contigFail, enclaveFail =  0 0\n",
      "CCB unit 8797 with pop 35954.0 now has use 0.96614\n",
      "CCB unit 8798 with pop 109690.0 now has use 0.95319\n",
      "CCB unit 8799 with pop 270876.0 now has use 1.02354\n"
     ]
    }
   ],
   "source": [
    "print(\"Here are the stats prior to any equi-pop patching\")\n",
    "shedUnitUse = [0. for u in range(nUnits)]\n",
    "shedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "shedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in shedHDlist[t]:\n",
    "        shedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(latestUnitUse,bins=50,weights=unitPop,label=\"pre-squaring\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.hist(shedUnitUse, bins=50, weights=unitPop,label=\"shed\",histtype=\"step\")\n",
    "plt.legend()\n",
    "#latestAvg, latestSD = getWeightedAvgAndSD(latestUnitUse,unitPop)\n",
    "shedUnitUseAvg, shedUnitUseSD = getWeightedAvgAndSD(shedUnitUse,unitPop)\n",
    "#print(\"orig unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "print(\"shed unit avg and sd usage are\", r5(shedUnitUseAvg),  r5(shedUnitUseSD) )\n",
    "plt.show()\n",
    "# note: when I ran this early Jan, went from 0.12662 to 0.09961 to 0.09432 SD orig-amped-shed, but contig not yet done\n",
    "print(\"and here are the final populations\")\n",
    "plt.hist([shedHDpop[t] for t in popHDlist],bins=20)\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "failEnclaveSet, failContigSet = set(), set()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%600 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs,5)\n",
    "    if not noEnclave:\n",
    "        noEnclave, eList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if not unbroken or not noEnclave:\n",
    "        #print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        pass\n",
    "    if not unbroken:\n",
    "        failContigSet.add(t)\n",
    "    if not noEnclave:\n",
    "        failEnclaveSet.add(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")\n",
    "failContigUnderpopped, failEnclaveUnderpopped = set(underPoppedList).intersection(failContigSet), set(underPoppedList).intersection(failEnclaveSet)\n",
    "failContigOverpopped, failEnclaveOverpopped = set(overPoppedList).intersection(failContigSet), set(overPoppedList).intersection(failEnclaveSet)\n",
    "print(\"underpop contigFail, enclaveFail =\",len(failContigUnderpopped), len(failEnclaveUnderpopped),\"out of\",len(underPoppedList))\n",
    "print(\"overpop contigFail, enclaveFail =\",len(failContigOverpopped), len(failEnclaveOverpopped),\"out of\",len(overPoppedList))\n",
    "print(\"total contigFail, enclaveFail = \",len(failContigSet), len(failEnclaveSet) )\n",
    "for u in range(nUnits):\n",
    "    if abs( allUnits[u]%1 - 0.25) < 0.01:\n",
    "        print(\"CCB unit\",u,\"with pop\",unitPop[u],\"now has use\",r5(unitUse[u]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "ff3288f1-f9ca-473c-886c-ee8d6c2637bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9178 8800\n"
     ]
    }
   ],
   "source": [
    "print(nHDs, nUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ed668f8-bf1e-46eb-963f-cf5e2b935b11",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see MD code if we need to remove a stuck CCB's from any HDs and then redo the square-up after dropping them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "e7bfa674-8fc8-42c8-86e9-76d334d3c47c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigGoodPop.csv\" #\"contigUnpatchedB.csv\" unpatchedContigGoodPop.csv\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "id": "c0c3a3d8-cf79-40ad-aa2e-b6793266f1d4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prior to patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    }
   ],
   "source": [
    "#SKIP THIS FOR STATES WITH FRAGMENTED VTD'S ###########\n",
    "print(\"prior to patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        for i,uu in enumerate(surrounders):\n",
    "            if u == uu:\n",
    "                unitVTDlist[u].append(surroundedVTDs[i])\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        vtdList[t] += unitVTDlist[u]\n",
    "    #add more stuff here to convert to vtd lists\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"needsEnclaveRemoval.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "7a36c0ba-5a68-445b-a223-b7fa55dfd728",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 9178 HD centers\n"
     ]
    }
   ],
   "source": [
    "nHDs = len(vtdGeom)\n",
    "print(\"there are\",nHDs,\"HD centers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "1b794580-5a58-4238-b310-7c87872ed679",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\n",
      "Must have already established unitGeoms, pops, topology -- or read in via next block\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./2024state_HD_output/OH8941opt3ContigGoodPop.csv ./2024state_HD_output/OH8941opt3ContigGoodPop.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sum of HDweight should be unity, actually is 0.9999999999998077\n",
      "I will now renormalize\n",
      "normalized weight is now 0.9999999999999998\n",
      "I read in 8941 HD lists of units\n",
      "orig unit avg and sd usage are 1.0008 0.11995\n"
     ]
    },
    {
     "data": {
      "image/png": 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auXKlFixYYNUcOHBA+fn5uuGGG1RRUaHZs2dr+vTpevPNN62atWvXqri4WAsXLtTu3bs1atQo+Xw+VVdXWzVt9QIAACBzAe6//37zd3/3d6a5udkEAgETFxdn1q9fb43v3bvXSDJlZWXGGGM2bdpkYmNjjd/vt2qWL19u3G63qa+vN8YYM3fuXDN8+PCw4xQUFBifz2c9Hjt2rCkqKrIeNzU1mYyMDFNSUmKMMRH1EolgMGgkmWAwGPFrgI5QeThgBszbYCoPB7rEsdqrBgDaQzSf3+c9R6ihoUG//vWvNXXqVMXExKi8vFyNjY3Ky8uzaoYOHar+/furrKxMklRWVqaRI0cqLS3NqvH5fAqFQvr444+tmlP30VLTso+GhgaVl5eH1cTGxiovL8+qiaSXs6mvr1coFArbAABAz3XeQei1115TIBDQv/zLv0iS/H6/nE6nkpOTw+rS0tLk9/utmlNDUMt4y1hrNaFQSHV1dfryyy/V1NR01ppT99FWL2dTUlIij8djbVlZWW3/IAAAQLd13kHoF7/4hW6++WZlZGS0Zz+dav78+QoGg9Z26NChzm4JAABcROd1QcW//OUveuutt/Sb3/zGei49PV0NDQ0KBAJhZ2KqqqqUnp5u1Zy+uqtlJdepNaev7qqqqpLb7ZbL5ZLD4ZDD4Thrzan7aKuXs4mPj1d8fHyEPwUAANDdndcZoZdeekmpqanKz8+3nsvJyVFcXJxKS0ut5/bt26eDBw/K6/VKkrxeryorK8NWd23ZskVut1vDhg2zak7dR0tNyz6cTqdycnLCapqbm1VaWmrVRNILAABA1GeEmpub9dJLL6mwsFC9ev3Pyz0ej6ZNm6bi4mL16dNHbrdbs2bNktfr1bXXXitJmjBhgoYNG6bJkydr8eLF8vv9evjhh1VUVGSdiZkxY4aee+45zZ07V1OnTtXWrVu1bt06bdy40TpWcXGxCgsLNWbMGI0dO1ZLlixRbW2tpkyZEnEvAAAAUQeht956SwcPHtTUqVPPGHv66acVGxuriRMnqr6+Xj6fT88//7w17nA4tGHDBt13333yer1KTExUYWGhHnvsMasmOztbGzdu1Jw5c7R06VJdfvnlevHFF+Xz+ayagoICffHFF1qwYIH8fr9Gjx6tzZs3h02gbqsXAACAqIPQhAkTZIw561hCQoKWLVumZcuWnfP1AwYM0KZNm1o9xne+8x19+OGHrdbMnDlTM2fOPOd4JL0AAAB7415jAADAtghCAADAtghCAADAts7rOkIA7Gd/9fHzGgOArowgBKBVKYlOueIcmr22otU6V5xDKYnOjmkKANoJQQhAqzKTXXrrgfGqqW1otS4l0anMZFcHdQUA7YMgBKBNmckuQg6AHonJ0gAAwLY4IwSgSzkSqONrOAAdhiAEoMs4EqhT3lPbVdfY1GqdK86htx4YTxgCcMEIQgC6jJraBtU1NmlJwWgNSk06a83+6uOavbZCNbUNBCEAF4wgBKDLGZSapBGZns5uA4ANMFkaAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIAADYVtRB6MiRI/rnf/5n9e3bVy6XSyNHjtQHH3xgjRtjtGDBAvXr108ul0t5eXn69NNPw/bx1VdfadKkSXK73UpOTta0adN0/PjxsJqPPvpI119/vRISEpSVlaXFixef0cv69es1dOhQJSQkaOTIkdq0aVPYeCS9AAAA+4oqCNXU1Ohb3/qW4uLi9MYbb+iTTz7RU089pZSUFKtm8eLFeuaZZ7RixQrt2LFDiYmJ8vl8OnHihFUzadIkffzxx9qyZYs2bNigt99+W/fee681HgqFNGHCBA0YMEDl5eV68skn9eijj+rnP/+5VfPee+/prrvu0rRp0/Thhx/qtttu02233aY9e/ZE1QsAALAxE4V58+aZcePGnXO8ubnZpKenmyeffNJ6LhAImPj4ePPKK68YY4z55JNPjCSza9cuq+aNN94wMTEx5siRI8YYY55//nmTkpJi6uvrw449ZMgQ6/Edd9xh8vPzw46fm5trfvCDH0TcS1uCwaCRZILBYET1QEepPBwwA+ZtMJWHA53dSsQi6bm9agDYWzSf31GdEfrv//5vjRkzRv/0T/+k1NRUXX311XrhhRes8QMHDsjv9ysvL896zuPxKDc3V2VlZZKksrIyJScna8yYMVZNXl6eYmNjtWPHDqvm29/+tpxOp1Xj8/m0b98+1dTUWDWnHqelpuU4kfRyuvr6eoVCobANAAD0XL2iKf7zn/+s5cuXq7i4WD/60Y+0a9cu/fCHP5TT6VRhYaH8fr8kKS0tLex1aWlp1pjf71dqamp4E716qU+fPmE12dnZZ+yjZSwlJUV+v7/N47TVy+lKSkq0aNGiyH4YwEV0JFCnmtqGc47vrz5+zjEAQOSiCkLNzc0aM2aMHn/8cUnS1VdfrT179mjFihUqLCy8KA12pPnz56u4uNh6HAqFlJWV1YkdwY6OBOqU99R21TU2tVrninMoJdHZag0AoHVRBaF+/fpp2LBhYc994xvf0H/+539KktLT0yVJVVVV6tevn1VTVVWl0aNHWzXV1dVh+zh58qS++uor6/Xp6emqqqoKq2l53FbNqeNt9XK6+Ph4xcfHt/ITAC6+mtoG1TU2aUnBaA1KTTpnXUqiU5nJrg7sDAB6nqjmCH3rW9/Svn37wp774x//qAEDBkiSsrOzlZ6ertLSUms8FAppx44d8nq9kiSv16tAIKDy8nKrZuvWrWpublZubq5V8/bbb6uxsdGq2bJli4YMGWKtUPN6vWHHaalpOU4kvQBd2aDUJI3I9JxzIwQBwIWL6ozQnDlzdN111+nxxx/XHXfcoZ07d+rnP/+5taw9JiZGs2fP1k9+8hMNHjxY2dnZeuSRR5SRkaHbbrtN0t/OIH33u9/V97//fa1YsUKNjY2aOXOm7rzzTmVkZEiS7r77bi1atEjTpk3TvHnztGfPHi1dulRPP/201cv999+v8ePH66mnnlJ+fr7WrFmjDz74IKpeAHS81uY3MfcJQEeLKgh985vf1Kuvvqr58+frscceU3Z2tpYsWaJJkyZZNXPnzlVtba3uvfdeBQIBjRs3Tps3b1ZCQoJV8/LLL2vmzJm68cYbFRsbq4kTJ+qZZ56xxj0ej37729+qqKhIOTk5uvTSS7VgwYKwaw1dd911Wr16tR5++GH96Ec/0uDBg/Xaa69pxIgRUfUCdDS7ToROSXTKFefQ7LUVrdYx9wlAR4oxxpjObqKrCoVC8ng8CgaDcrvdnd0OeoBoJkK/9cD4Hvf1V1shUGp77tOeI0Hd8uw72jBrnEZketq7RQA9QDSf31GdEQJwYew+EToz2dUj/1wAui+CENAJWiZCAwA6F3efBwAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAgAAthVVEHr00UcVExMTtg0dOtQaP3HihIqKitS3b18lJSVp4sSJqqqqCtvHwYMHlZ+fr969eys1NVUPPvigTp48GVazbds2XXPNNYqPj9egQYO0cuXKM3pZtmyZBg4cqISEBOXm5mrnzp1h45H0AgAA7C3qM0LDhw/X0aNHre2dd96xxubMmaPXX39d69ev1/bt2/X555/r9ttvt8abmpqUn5+vhoYGvffee1q1apVWrlypBQsWWDUHDhxQfn6+brjhBlVUVGj27NmaPn263nzzTatm7dq1Ki4u1sKFC7V7926NGjVKPp9P1dXVEfcCAAAgE4WFCxeaUaNGnXUsEAiYuLg4s379euu5vXv3GkmmrKzMGGPMpk2bTGxsrPH7/VbN8uXLjdvtNvX19cYYY+bOnWuGDx8etu+CggLj8/msx2PHjjVFRUXW46amJpORkWFKSkoi7iUSwWDQSDLBYDDi1wCtqTwcMAPmbTCVhwOd3Uq3xc8QQFui+fyO+ozQp59+qoyMDF1xxRWaNGmSDh48KEkqLy9XY2Oj8vLyrNqhQ4eqf//+KisrkySVlZVp5MiRSktLs2p8Pp9CoZA+/vhjq+bUfbTUtOyjoaFB5eXlYTWxsbHKy8uzaiLp5Wzq6+sVCoXCNgAA0HP1iqY4NzdXK1eu1JAhQ3T06FEtWrRI119/vfbs2SO/3y+n06nk5OSw16Slpcnv90uS/H5/WAhqGW8Za60mFAqprq5ONTU1ampqOmvNH/7wB2sfbfVyNiUlJVq0aFFkPwwAnWp/9fFWx1MSncpMdnVQNwC6q6iC0M0332z991VXXaXc3FwNGDBA69atk8vV/f+HM3/+fBUXF1uPQ6GQsrKyOrEjAKdLSXTKFefQ7LUVrda54hx664HxhCEArYoqCJ0uOTlZV155pfbv36+bbrpJDQ0NCgQCYWdiqqqqlJ6eLklKT08/Y3VXy0quU2tOX91VVVUlt9stl8slh8Mhh8Nx1ppT99FWL2cTHx+v+Pj46H4IADpUZrJLbz0wXjW1Dees2V99XLPXVqimtoEgBKBVF3QdoePHj+tPf/qT+vXrp5ycHMXFxam0tNQa37dvnw4ePCiv1ytJ8nq9qqysDFvdtWXLFrndbg0bNsyqOXUfLTUt+3A6ncrJyQmraW5uVmlpqVUTSS8Auq/MZJdGZHrOuQ1KTersFgF0E1GdEfpf/+t/6dZbb9WAAQP0+eefa+HChXI4HLrrrrvk8Xg0bdo0FRcXq0+fPnK73Zo1a5a8Xq+uvfZaSdKECRM0bNgwTZ48WYsXL5bf79fDDz+soqIi60zMjBkz9Nxzz2nu3LmaOnWqtm7dqnXr1mnjxo1WH8XFxSosLNSYMWM0duxYLVmyRLW1tZoyZYokRdQLcDEcCdS1eaYCANB1RBWEDh8+rLvuukt//etfddlll2ncuHF6//33ddlll0mSnn76acXGxmrixImqr6+Xz+fT888/b73e4XBow4YNuu++++T1epWYmKjCwkI99thjVk12drY2btyoOXPmaOnSpbr88sv14osvyufzWTUFBQX64osvtGDBAvn9fo0ePVqbN28Om0DdVi9AezsSqFPeU9tV19jUap0rzqGURGcHdQUAaE2MMcZ0dhNdVSgUksfjUTAYlNvt7ux20MXtORLULc++oyUFo1v9aobVTBdfy3uxYdY4jcj0dHY7ADpYNJ/fFzRZGsCZBqUm8eELAN0EN10FAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC21auzGwCAi2V/9fFWx1MSncpMdnVQNwC6IoIQgB4nJdEpV5xDs9dWtFrninPorQfGE4YAGyMIAehxMpNdeuuB8aqpbThnzf7q45q9tkI1tQ0EIcDGCEIAeqTMZBcBB0CbmCwNAABsiyAEAABsiyAEAABsiyAEAABsi8nSQISOBOraXIUEAOheLuiM0BNPPKGYmBjNnj3beu7EiRMqKipS3759lZSUpIkTJ6qqqirsdQcPHlR+fr569+6t1NRUPfjggzp58mRYzbZt23TNNdcoPj5egwYN0sqVK884/rJlyzRw4EAlJCQoNzdXO3fuDBuPpBcgEkcCdcp7artuefadc26z11bIFedQSqKzs9sFAETovM8I7dq1S//xH/+hq666Kuz5OXPmaOPGjVq/fr08Ho9mzpyp22+/Xe+++64kqampSfn5+UpPT9d7772no0eP6p577lFcXJwef/xxSdKBAweUn5+vGTNm6OWXX1ZpaammT5+ufv36yefzSZLWrl2r4uJirVixQrm5uVqyZIl8Pp/27dun1NTUiHoBIlVT26C6xiYtKRitQalJ56zjSsUA0M2Y83Ds2DEzePBgs2XLFjN+/Hhz//33G2OMCQQCJi4uzqxfv96q3bt3r5FkysrKjDHGbNq0ycTGxhq/32/VLF++3LjdblNfX2+MMWbu3Llm+PDhYccsKCgwPp/Pejx27FhTVFRkPW5qajIZGRmmpKQk4l7aEgwGjSQTDAYjqkfPVXk4YAbM22AqDwc6uxW0E95ToOeK5vP7vL4aKyoqUn5+vvLy8sKeLy8vV2NjY9jzQ4cOVf/+/VVWViZJKisr08iRI5WWlmbV+Hw+hUIhffzxx1bN6fv2+XzWPhoaGlReXh5WExsbq7y8PKsmkl4AAIC9Rf3V2Jo1a7R7927t2rXrjDG/3y+n06nk5OSw59PS0uT3+62aU0NQy3jLWGs1oVBIdXV1qqmpUVNT01lr/vCHP0Tcy+nq6+tVX19vPQ6FQmetAwAAPUNUZ4QOHTqk+++/Xy+//LISEhIuVk+dpqSkRB6Px9qysrI6uyUAAHARRRWEysvLVV1drWuuuUa9evVSr169tH37dj3zzDPq1auX0tLS1NDQoEAgEPa6qqoqpaenS5LS09PPWLnV8ritGrfbLZfLpUsvvVQOh+OsNafuo61eTjd//nwFg0FrO3ToUOQ/HAAA0O1EFYRuvPFGVVZWqqKiwtrGjBmjSZMmWf8dFxen0tJS6zX79u3TwYMH5fV6JUler1eVlZWqrq62arZs2SK3261hw4ZZNafuo6WmZR9Op1M5OTlhNc3NzSotLbVqcnJy2uzldPHx8XK73WEbAADouaKaI3TJJZdoxIgRYc8lJiaqb9++1vPTpk1TcXGx+vTpI7fbrVmzZsnr9eraa6+VJE2YMEHDhg3T5MmTtXjxYvn9fj388MMqKipSfHy8JGnGjBl67rnnNHfuXE2dOlVbt27VunXrtHHjRuu4xcXFKiws1JgxYzR27FgtWbJEtbW1mjJliiTJ4/G02QsAALC3dr+y9NNPP63Y2FhNnDhR9fX18vl8ev75561xh8OhDRs26L777pPX61ViYqIKCwv12GOPWTXZ2dnauHGj5syZo6VLl+ryyy/Xiy++aF1DSJIKCgr0xRdfaMGCBfL7/Ro9erQ2b94cNoG6rV4AAIC9xRhjTGc30VWFQiF5PB4Fg0G+JrO5PUeCuuXZd7Rh1jiNyPR0djtoB7ynQM8Vzec3N10FAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2RRACAAC2FVUQWr58ua666iq53W653W55vV698cYb1viJEydUVFSkvn37KikpSRMnTlRVVVXYPg4ePKj8/Hz17t1bqampevDBB3Xy5Mmwmm3btumaa65RfHy8Bg0apJUrV57Ry7JlyzRw4EAlJCQoNzdXO3fuDBuPpBcA6ChHAnXacyTY6nYkUNfZbQK20yua4ssvv1xPPPGEBg8eLGOMVq1apX/4h3/Qhx9+qOHDh2vOnDnauHGj1q9fL4/Ho5kzZ+r222/Xu+++K0lqampSfn6+0tPT9d577+no0aO65557FBcXp8cff1ySdODAAeXn52vGjBl6+eWXVVpaqunTp6tfv37y+XySpLVr16q4uFgrVqxQbm6ulixZIp/Pp3379ik1NVWS2uwFADrKkUCd8p7arrrGplbrXHEOvfXAeGUmuzqoMwAyFyglJcW8+OKLJhAImLi4OLN+/XprbO/evUaSKSsrM8YYs2nTJhMbG2v8fr9Vs3z5cuN2u019fb0xxpi5c+ea4cOHhx2joKDA+Hw+6/HYsWNNUVGR9bipqclkZGSYkpISY4yJqJdIBINBI8kEg8GIX4OeqfJwwAyYt8FUHg50ditoJx35nrYc69Xdh03l4cBZt1d3H+bvGNBOovn8Pu85Qk1NTVqzZo1qa2vl9XpVXl6uxsZG5eXlWTVDhw5V//79VVZWJkkqKyvTyJEjlZaWZtX4fD6FQiF9/PHHVs2p+2ipadlHQ0ODysvLw2piY2OVl5dn1UTSy9nU19crFAqFbQDQXgalJmlEpues26DUpM5uD7ClqINQZWWlkpKSFB8frxkzZujVV1/VsGHD5Pf75XQ6lZycHFaflpYmv98vSfL7/WEhqGW8Zay1mlAopLq6On355Zdqamo6a82p+2irl7MpKSmRx+OxtqysrMh+KAAAoFuKOggNGTJEFRUV2rFjh+677z4VFhbqk08+uRi9dbj58+crGAxa26FDhzq7JQAAcBFFNVlakpxOpwYNGiRJysnJ0a5du7R06VIVFBSooaFBgUAg7ExMVVWV0tPTJUnp6elnrO5qWcl1as3pq7uqqqrkdrvlcrnkcDjkcDjOWnPqPtrq5Wzi4+MVHx8fxU8DAAB0Zxd8HaHm5mbV19crJydHcXFxKi0ttcb27dungwcPyuv1SpK8Xq8qKytVXV1t1WzZskVut1vDhg2zak7dR0tNyz6cTqdycnLCapqbm1VaWmrVRNILAABAVGeE5s+fr5tvvln9+/fXsWPHtHr1am3btk1vvvmmPB6Ppk2bpuLiYvXp00dut1uzZs2S1+vVtddeK0maMGGChg0bpsmTJ2vx4sXy+/16+OGHVVRUZJ2JmTFjhp577jnNnTtXU6dO1datW7Vu3Tpt3LjR6qO4uFiFhYUaM2aMxo4dqyVLlqi2tlZTpkyRpIh6AQAAiCoIVVdX65577tHRo0fl8Xh01VVX6c0339RNN90kSXr66acVGxuriRMnqr6+Xj6fT88//7z1eofDoQ0bNui+++6T1+tVYmKiCgsL9dhjj1k12dnZ2rhxo+bMmaOlS5fq8ssv14svvmhdQ0iSCgoK9MUXX2jBggXy+/0aPXq0Nm/eHDaBuq1eACASRwJ1qqltaLUmJdHJtX+AbiqqIPSLX/yi1fGEhAQtW7ZMy5YtO2fNgAEDtGnTplb3853vfEcffvhhqzUzZ87UzJkzL6gXAGgNF0IEer6oJ0sDgF3U1DaorrFJSwpGn/M6P/urj2v22grV1DYQhIBuiCAEwNb2Vx9vc6zlQoid3Y/E13BAeyMIAWp7HkhbH07oflISnXLFOTR7bUWrda44h1ISnV2qH76GA9oPQQi2F808kI74QETHyEx26a0HxneZidCR9MPXcED7IwjB9iKZByLxlURPlJns6lLvaVfrB7ADghDw/3XkPBD0PJHMNQLQ9RCEAOACdMZcIyZUA+2HIAQAF6Aj5xoxoRpofwQhALhAHTW3hwnVQPsjCAFAN8KEaqB9XfDd5wEAALorghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALCtXp3dAACg/e2vPt7qeEqiU5nJrg7qBui6CEIA0IOkJDrlinNo9tqKVutccQ699cB4whBsL6qvxkpKSvTNb35Tl1xyiVJTU3Xbbbdp3759YTUnTpxQUVGR+vbtq6SkJE2cOFFVVVVhNQcPHlR+fr569+6t1NRUPfjggzp58mRYzbZt23TNNdcoPj5egwYN0sqVK8/oZ9myZRo4cKASEhKUm5urnTt3Rt0LAPQkmckuvfXAeG2YNe6c25KC0aprbFJNbUNntwt0uqiC0Pbt21VUVKT3339fW7ZsUWNjoyZMmKDa2lqrZs6cOXr99de1fv16bd++XZ9//rluv/12a7ypqUn5+flqaGjQe++9p1WrVmnlypVasGCBVXPgwAHl5+frhhtuUEVFhWbPnq3p06frzTfftGrWrl2r4uJiLVy4ULt379aoUaPk8/lUXV0dcS8A0BNlJrs0ItNzzm1QalJntwh0HeYCVFdXG0lm+/btxhhjAoGAiYuLM+vXr7dq9u7daySZsrIyY4wxmzZtMrGxscbv91s1y5cvN26329TX1xtjjJk7d64ZPnx42LEKCgqMz+ezHo8dO9YUFRVZj5uamkxGRoYpKSmJuJe2BINBI8kEg8GI6tE9VR4OmAHzNpjKw4HObgXoEPydR08Xzef3Ba0aCwaDkqQ+ffpIksrLy9XY2Ki8vDyrZujQoerfv7/KysokSWVlZRo5cqTS0tKsGp/Pp1AopI8//tiqOXUfLTUt+2hoaFB5eXlYTWxsrPLy8qyaSHo5XX19vUKhUNgGAAB6rvMOQs3NzZo9e7a+9a1vacSIEZIkv98vp9Op5OTksNq0tDT5/X6r5tQQ1DLeMtZaTSgUUl1dnb788ks1NTWdtebUfbTVy+lKSkrk8XisLSsrK8KfBgAA6I7OOwgVFRVpz549WrNmTXv206nmz5+vYDBobYcOHerslgAAwEV0XsvnZ86cqQ0bNujtt9/W5Zdfbj2fnp6uhoYGBQKBsDMxVVVVSk9Pt2pOX93VspLr1JrTV3dVVVXJ7XbL5XLJ4XDI4XCctebUfbTVy+ni4+MVHx8fxU8CAAB0Z1GdETLGaObMmXr11Ve1detWZWdnh43n5OQoLi5OpaWl1nP79u3TwYMH5fV6JUler1eVlZVhq7u2bNkit9utYcOGWTWn7qOlpmUfTqdTOTk5YTXNzc0qLS21aiLpBQAA2FtUZ4SKioq0evVq/dd//ZcuueQSa66Nx+ORy+WSx+PRtGnTVFxcrD59+sjtdmvWrFnyer269tprJUkTJkzQsGHDNHnyZC1evFh+v18PP/ywioqKrLMxM2bM0HPPPae5c+dq6tSp2rp1q9atW6eNGzdavRQXF6uwsFBjxozR2LFjtWTJEtXW1mrKlClWT231AgAAbC6a5WiSzrq99NJLVk1dXZ3513/9V5OSkmJ69+5t/vEf/9EcPXo0bD+fffaZufnmm43L5TKXXnqpeeCBB0xjY2NYze9+9zszevRo43Q6zRVXXBF2jBbPPvus6d+/v3E6nWbs2LHm/fffDxuPpJfWsHzeHlhKDLvh7zx6umg+v2OMMabzYljXFgqF5PF4FAwG5Xa7O7sdXCR7jgR1y7PvaMOscRqR6ensdoCLjr/z6Omi+fzm7vMAAMC2CEIAAMC2CEIAAMC2CEIAAMC2zuuCigCA7m9/9fFWx1MSncpMdnVQN0DnIAgBgM2kJDrlinNo9tqKVutccQ699cB4whB6NIIQANhMZrJLbz0wXjW1Dees2V99XLPXVqimtoEghB6NIAQANpSZ7CLgAGKyNAAAsDGCEAAAsC2CEAAAsC2CEAAAsC2CEAAAsC2CEAAAsC2CEAAAsC2uI4Qe70igrs0LxwEA7IkghB7tSKBOeU9tV11jU6t1rjiHUhKdHdQV0LO09cuGxH3L0HURhNCj1dQ2qK6xSUsKRmtQatI56/ifNHB+ovllg/uWoSsiCMEWBqUmaUSmp7PbAHqcSH7Z4L5l6MoIQgCAC8YvG+iuWDUGAABsizNCAIBzamtVJasu0d0RhAAAZ0hJdMoV59DstRVt1rLqEt0ZQQjdGtcIAi6OzGSX3npgfJvL4iVWXaJ7Iwih2+IaQcDFlZnsIuCgxyMIodviGkEAgAtFEEK3x7JdAMD5Yvk8AACwLYIQAACwLb4aAwB0iLZWcTKfD50h6jNCb7/9tm699VZlZGQoJiZGr732Wti4MUYLFixQv3795HK5lJeXp08//TSs5quvvtKkSZPkdruVnJysadOm6fjx8H8gH330ka6//nolJCQoKytLixcvPqOX9evXa+jQoUpISNDIkSO1adOmqHsBAFxcp16T6JZn3znnlvfUdh0J1HV2u7CZqM8I1dbWatSoUZo6dapuv/32M8YXL16sZ555RqtWrVJ2drYeeeQR+Xw+ffLJJ0pISJAkTZo0SUePHtWWLVvU2NioKVOm6N5779Xq1aslSaFQSBMmTFBeXp5WrFihyspKTZ06VcnJybr33nslSe+9957uuusulZSU6JZbbtHq1at12223affu3RoxYkTEvQAALq5IrknEjVnRacwFkGReffVV63Fzc7NJT083Tz75pPVcIBAw8fHx5pVXXjHGGPPJJ58YSWbXrl1WzRtvvGFiYmLMkSNHjDHGPP/88yYlJcXU19dbNfPmzTNDhgyxHt9xxx0mPz8/rJ/c3Fzzgx/8IOJe2hIMBo0kEwwGI6pHx6o8HDAD5m0wlYcDnd0KgAvEv2e0p2g+v9t1svSBAwfk9/uVl5dnPefxeJSbm6uysjJJUllZmZKTkzVmzBirJi8vT7GxsdqxY4dV8+1vf1tO5/9cBM/n82nfvn2qqamxak49TktNy3Ei6QUAANhbu06W9vv9kqS0tLSw59PS0qwxv9+v1NTU8CZ69VKfPn3CarKzs8/YR8tYSkqK/H5/m8dpq5fT1dfXq76+3nocCoXa+BMDAIDujOXzpygpKZHH47G2rKyszm4JAABcRO0ahNLT0yVJVVVVYc9XVVVZY+np6aqurg4bP3nypL766quwmrPt49RjnKvm1PG2ejnd/PnzFQwGre3QoUMR/KkBAEB31a5BKDs7W+np6SotLbWeC4VC2rFjh7xeryTJ6/UqEAiovLzcqtm6dauam5uVm5tr1bz99ttqbGy0arZs2aIhQ4YoJSXFqjn1OC01LceJpJfTxcfHy+12h20AAKDninqO0PHjx7V//37r8YEDB1RRUaE+ffqof//+mj17tn7yk59o8ODB1pL1jIwM3XbbbZKkb3zjG/rud7+r73//+1qxYoUaGxs1c+ZM3XnnncrIyJAk3X333Vq0aJGmTZumefPmac+ePVq6dKmefvpp67j333+/xo8fr6eeekr5+flas2aNPvjgA/385z+XJMXExLTZC7q2I4G6NpfbAgBwIaIOQh988IFuuOEG63FxcbEkqbCwUCtXrtTcuXNVW1ure++9V4FAQOPGjdPmzZvDrtvz8ssva+bMmbrxxhsVGxuriRMn6plnnrHGPR6Pfvvb36qoqEg5OTm69NJLtWDBAusaQpJ03XXXafXq1Xr44Yf1ox/9SIMHD9Zrr71mXUNIUkS9oGs6EqhT3lPbVdfY1GqdK86hlERnqzUAug+uPo2OFmOMMZ3dRFcVCoXk8XgUDAb5mqyD7TkS1C3PvqMlBaM1KDXpnHX8TxHoGaL55eetB8bz7x6tiubzm3uNoUsblJqkEZmezm4DwEXG1afRWQhCAIAuITPZRcBBh+M6QgAAwLYIQgAAwLYIQgAAwLaYI4ROwTWCAABdAUEI7a6tkPPX2gbN+FU51wgCAHQ6ghDaVTTXAlk1daz6thJ0uEYQgLPhootoTwQhtKua2gbVNTZxIUQA7S4l0SlXnEOz11a0WsdFFxENghAuCi6ECKC9RXPRxV0HvlINv4whAgQhAEC30dZFF6M5a7Ricg5fz4MgBADoOSI5a9SyYKPwlztb3RdfsdkDQQhRYdk7gK4uklt1cF8ztCAIIWLRrAhj2TuAroz7mqEFQQgRY0UYAKCnIQghaqwIAwD0FNxrDAAA2BZBCAAA2BZBCAAA2BZzhAAAOAfua9bzEYQAADgN9zWzD4IQAACniea+Zlx0sXsjCAEAcBaRXnSxPa6oz1dsnYcgBAu3zwCAyEX69Vkk+Iqt8xCEbKKtkNNyE0JunwEAkYnk67NI8BVb5yII2UA09whbNXWs+rYSdDh9CwD/oyPvWdbWL7QS/48+HwQhG+AeYQDQvUXzCy1fsUWHIGQj3CMMALqnSH6h5Su280MQAgCgm+AX2vZHEAIAoAtobWUuq3YvHoJQD8CydwDovqK5inUkq3a5LUh0bBGEli1bpieffFJ+v1+jRo3Ss88+q7Fjx3Z2W+0imgl0LHsHgK4n0mX4bQWYaALVisk5rBD+/3p8EFq7dq2Ki4u1YsUK5ebmasmSJfL5fNq3b59SU1M7tbf2WArJijAA6P7aYxl+JIGq5Zpxhb/c2eq+7LT6rMcHoX//93/X97//fU2ZMkWStGLFCm3cuFG//OUv9dBDD3VaX9GcyWktubecAmUCHQAgkkDVXvdQ6ynXNerRQaihoUHl5eWaP3++9VxsbKzy8vJUVlZ2Rn19fb3q6+utx8FgUJIUCoXavbdD/qBqjx/TE7eP1BWXJZ615quvGzV7zYeavHxbq/tKiItVr6YTCoVi2r1PAEDPckmsdMkl5/68OH6sWc31X+ujPx/V8WNn//xr+Xw60djc6rES4mK15M6r1ad33DlrLkuK12XuhMiaj1DL57Yxps3aHh2EvvzySzU1NSktLS3s+bS0NP3hD384o76kpESLFi064/msrKyL1uOkJe2zn2882T77AQBAar/Pp/xO/Hw6duyYPJ7Wvy3p0UEoWvPnz1dxcbH1uLm5WV999ZX69u2rmBjOtnQFoVBIWVlZOnTokNxud2e3gwjxvnU/vGfdE+/b3xhjdOzYMWVkZLRZ26OD0KWXXiqHw6Gqqqqw56uqqpSenn5GfXx8vOLj48OeS05Ovpgt4jy53W5b/yPvrnjfuh/es+6J901tnglqEXuR++hUTqdTOTk5Ki0ttZ5rbm5WaWmpvF5vJ3YGAAC6gh59RkiSiouLVVhYqDFjxmjs2LFasmSJamtrrVVkAADAvnp8ECooKNAXX3yhBQsWyO/3a/To0dq8efMZE6jRPcTHx2vhwoVnfIWJro33rfvhPeueeN+iF2MiWVsGAADQA/XoOUIAAACtIQgBAADbIggBAADbIggBAADbIgihy1m2bJkGDhyohIQE5ebmaufO1u+SvGTJEg0ZMkQul0tZWVmaM2eOTpw40UHd4u2339att96qjIwMxcTE6LXXXmvzNdu2bdM111yj+Ph4DRo0SCtXrrzofSJctO/bb37zG91000267LLL5Ha75fV69eabb3ZMs7Ccz7+3Fu+++6569eql0aNHX7T+uiOCELqUtWvXqri4WAsXLtTu3bs1atQo+Xw+VVdXn7V+9erVeuihh7Rw4ULt3btXv/jFL7R27Vr96Ec/6uDO7au2tlajRo3SsmXLIqo/cOCA8vPzdcMNN6iiokKzZ8/W9OnT+VDtYNG+b2+//bZuuukmbdq0SeXl5brhhht066236sMPP7zIneJU0b5vLQKBgO655x7deOONF6mz7ovl8+hScnNz9c1vflPPPfecpL9dCTwrK0uzZs3SQw89dEb9zJkztXfv3rCrhz/wwAPasWOH3nnnnQ7rG38TExOjV199Vbfddts5a+bNm6eNGzdqz5491nN33nmnAoGANm/e3AFd4nSRvG9nM3z4cBUUFGjBggUXpzG0Kpr37c4779TgwYPlcDj02muvqaKi4qL3111wRghdRkNDg8rLy5WXl2c9Fxsbq7y8PJWVlZ31Ndddd53Ky8utr8/+/Oc/a9OmTfre977XIT0jemVlZWHvsST5fL5zvsfompqbm3Xs2DH16dOns1tBG1566SX9+c9/1sKFCzu7lS6px19ZGt3Hl19+qaampjOu+p2WlqY//OEPZ33N3XffrS+//FLjxo2TMUYnT57UjBkz+GqsC/P7/Wd9j0OhkOrq6uRyuTqpM0TjZz/7mY4fP6477rijs1tBKz799FM99NBD+r//9/+qVy8+8s+GM0Lo1rZt26bHH39czz//vHbv3q3f/OY32rhxo/73//7fnd0a0GOtXr1aixYt0rp165SamtrZ7eAcmpqadPfdd2vRokW68sorO7udLot4iC7j0ksvlcPhUFVVVdjzVVVVSk9PP+trHnnkEU2ePFnTp0+XJI0cOVK1tbW699579eMf/1ixsWT9riY9Pf2s77Hb7eZsUDewZs0aTZ8+XevXrz/jK050LceOHdMHH3ygDz/8UDNnzpT0t680jTHq1auXfvvb3+rv//7vO7nLzsenBLoMp9OpnJycsInPzc3NKi0tldfrPetrvv766zPCjsPhkCSxDqBr8nq9Ye+xJG3ZsuWc7zG6jldeeUVTpkzRK6+8ovz8/M5uB21wu92qrKxURUWFtc2YMUNDhgxRRUWFcnNzO7vFLoEzQuhSiouLVVhYqDFjxmjs2LFasmSJamtrNWXKFEnSPffco8zMTJWUlEiSbr31Vv37v/+7rr76auXm5mr//v165JFHdOutt1qBCBfX8ePHtX//fuvxgQMHVFFRoT59+qh///6aP3++jhw5ov/zf/6PJGnGjBl67rnnNHfuXE2dOlVbt27VunXrtHHjxs76I9hStO/b6tWrVVhYqKVLlyo3N1d+v1+S5HK55PF4OuXPYEfRvG+xsbEaMWJE2OtTU1OVkJBwxvO2ZoAu5tlnnzX9+/c3TqfTjB071rz//vvW2Pjx401hYaH1uLGx0Tz66KPm7/7u70xCQoLJysoy//qv/2pqamo6vnGb+t3vfmcknbG1vE+FhYVm/PjxZ7xm9OjRxul0miuuuMK89NJLHd633UX7vo0fP77VenSM8/n3dqqFCxeaUaNGdUiv3QXXEQIAALbFHCEAAGBbBCEAAGBbBCEAAGBbBCEAAGBbBCEAAGBbBCEAAGBbBCEAAGBbBCEAAGBbBCEAAGBbBCEAAGBbBCEAAGBbBCEAAGBb/w9Qkn9BSoykpgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\") #vtdlist for patching\")\n",
    "print(\"Must have already established unitGeoms, pops, topology -- or read in via next block\")\n",
    "guessedFile = \"enter the unpatched UNIT list file, e.g. ./2024state_HD_output/\"+STATE+str(nHDs)+\"opt3ContigGoodPop.csv\"\n",
    "infile = input(guessedFile)\n",
    "inDF = pd.read_csv(infile)\n",
    "vtdListString = inDF[\"HDunitList\"]  #inDF[\"HDvtdList\"]\n",
    "nHDs = len(vtdListString)\n",
    "inVTDlist = [ast.literal_eval(vtdListString[t]) for t in range(nHDs)]\n",
    "HDweight = inDF[\"HDweight\"]\n",
    "sumWt = np.sum(HDweight)\n",
    "print(\"sum of HDweight should be unity, actually is\",sumWt)\n",
    "print(\"I will now renormalize\")\n",
    "HDweight = [HDweight[t] /sumWt for t in range(nHDs)]\n",
    "print(\"normalized weight is now\",np.sum(HDweight))\n",
    "HDvPop = inDF[\"HDvPop\"].to_list()\n",
    "hdCPx, hdCPy = inDF[\"centroid x\"], inDF[\"centroid y\"]\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs)]\n",
    "print(\"I read in\",nHDs,\"HD lists of units\") #vtds\")\n",
    "HDunitList = [inVTDlist[t].copy() for t in range(nHDs)]\n",
    "#HDunitList = [list() for t in range(nHDs)]\n",
    "#for t in range(nHDs):\n",
    "#    if t%500 == 0:\n",
    "#        print(\"working on converting HD\",t,\"from vtd list to unit list\")\n",
    "#    for v in inVTDlist[t]:  #this will skip over surrounded units, whose pops we have added to their surrounders\n",
    "#        if v in allUnits:\n",
    "#            HDunitList[t].append(allUnits.index(v))\n",
    "#    for c in unitCounties:\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(c+0.5)\n",
    "#            HDunitList[t].append(u)\n",
    "#    for j, L in enumerate(CCBlist):\n",
    "#        c = L[0]\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(j+0.25)\n",
    "#            HDunitList[t].append(u) \n",
    "            \n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "8014f0bf-74bb-40bc-b217-af4e204ea9a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "upon restart, need to pull in unit topology and data\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv ./state_map_files/MNunitTopologies_06Apr24.csv\n"
     ]
    }
   ],
   "source": [
    "#SKIP THE BELOW IF NOT A COLD RESTART\n",
    "print(\"upon restart, need to pull in unit topology and data\")  #note, this won't have geometries for plotting, but fine for patching\n",
    "topologyFile = \"enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv\"\n",
    "infile = input(topologyFile)\n",
    "topDF = pd.read_csv(infile)\n",
    "unitCPx, unitCPy, unitPop = topDF[\"centroid x\"], topDF[\"centroid y\"], topDF[\"unitPop\"]\n",
    "nUnits = len(unitPop)\n",
    "unitCP = [Point(unitCPx[u], unitCPy[u]) for u in range(nUnits) ]\n",
    "onBorder = topDF[\"onBorder\"]\n",
    "borderSet = set()\n",
    "for i, onB in enumerate(onBorder):\n",
    "    if onB == 1:\n",
    "        borderSet.add(i)\n",
    "borderList = list(borderSet)\n",
    "\n",
    "nbrListString = topDF[\"neighborList\"]\n",
    "unitNbrs = [ast.literal_eval(nbrListString[u]) for u in range(nUnits)]\n",
    "unitParentVTDno = topDF[\"unitParentVTDno\"]  #NOTE: some units are VTD fragments, so they share a parentVTDno\n",
    "uVLstring = topDF[\"unitVTDlist\"]\n",
    "unitNbrs = [ast.literal_eval(uVLstring[u]) for u in range(nUnits)]\n",
    "allUnits = topDF[\"allUnits\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "5f3a5392-11f1-4061-a458-aecd834b2748",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working avg precinct-to-HDcP distance for HD 0\n",
      "working avg precinct-to-HDcP distance for HD 800\n",
      "working avg precinct-to-HDcP distance for HD 1600\n",
      "working avg precinct-to-HDcP distance for HD 2400\n",
      "working avg precinct-to-HDcP distance for HD 3200\n",
      "working avg precinct-to-HDcP distance for HD 4000\n",
      "working avg precinct-to-HDcP distance for HD 4800\n",
      "working avg precinct-to-HDcP distance for HD 5600\n",
      "all avgDist to HD centers computed\n"
     ]
    }
   ],
   "source": [
    "#needed for restart only  about 5sec per 2000 HDs\n",
    "avgDist = [0. for t in range(nHDs)]\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if t%800 == 0:\n",
    "        print(\"working avg precinct-to-HDcP distance for HD\",t)\n",
    "    if HDvPop[t] > 0.1 * aDP:\n",
    "        avgDist[t] = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        popHDlist.append(t)\n",
    "print(\"all avgDist to HD centers computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "ea0db02f-9df8-4906-acb4-086c29c0fcc1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking for discontiguities for HD 0\n",
      "checking for discontiguities for HD 500\n",
      "checking for discontiguities for HD 1000\n",
      "checking for discontiguities for HD 1500\n",
      "checking for discontiguities for HD 2000\n",
      "checking for discontiguities for HD 2500\n",
      "checking for discontiguities for HD 3000\n",
      "checking for discontiguities for HD 3500\n",
      "checking for discontiguities for HD 4000\n",
      "checking for discontiguities for HD 4500\n",
      "checking for discontiguities for HD 5000\n",
      "checking for discontiguities for HD 5500\n",
      "checking for discontiguities for HD 6000\n",
      "out of 6356 total HDs, there were 6356 0 0 0 HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\n"
     ]
    }
   ],
   "source": [
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()  #optional contiguity check\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"checking for discontiguities for HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "27b42f93-dc87-4afe-8eb3-f30fdff4a737",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking unitUse, pop for county clusters\n",
      "9776 0.95725 97574.0\n",
      "9777 0.92642 58240.0\n",
      "9778 0.9973 37102.0\n"
     ]
    }
   ],
   "source": [
    "print(\"checking unitUse, pop for county clusters\")\n",
    "for uNo in allUnits:\n",
    "    if uNo - int(uNo) > 0.23 and uNo - int(uNo) < 0.27:\n",
    "        u = allUnits.index(uNo)\n",
    "        print(u,r5(unitUse[u]), unitPop[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "72941b8f-7be6-4a31-9377-618f44a34336",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unpatchedUnitUse = unitUse.copy()              #... for safekeeping\n",
    "unpatchedHDlist =  [HDunitList[t].copy() for t in range(nHDs) ]\n",
    "unpatchedHDpop =   HDvPop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "5f9ca091-1eb6-4135-a233-7f5ae0f5e3d1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = unpatchedUnitUse.copy()              #... for restarting\n",
    "HDunitList =  [unpatchedHDlist[t].copy() for t in range(nHDs) ]\n",
    "HDvPop =   unpatchedHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc95ca58-c27f-4ac9-b6f7-234a94945f07",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Not sure if BELOW UNDERUSED is faster now that we subbed wontEnclave for enclaveCheck"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "e9dd457d-fb37-49cf-9b19-19c17c328ede",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we exchange in under-used, THEN shed over-used\n",
      "Currently, we will stop patching when the overall sd of usage is less than 0.07\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.06\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this would currently cover a total of 2016 units\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated number of units to try boosting usage 150\n",
      "enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97 0.97\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 3218 units out of 8800 with usage below 0.97\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n",
      "enter 1 to print out stats for every patched HD, otherwise enter reporting frequency 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's further tighten the distro with exchanges up to 38243\n",
      "current avg and SD of unit usage are 1.0012 0.08895 . Now trying to increase up to 150 units' underusage\n",
      "all done trying to increase usage of unit 3310 final usage = 0.97184 280 sec elapsed 92 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00119 0.08693\n",
      "all done trying to increase usage of unit 467 final usage = 0.97098 443 sec elapsed 84 0 successful, failed patches, couldn't start= 16\n",
      "current avg and SD of usage are 1.00116 0.0852\n",
      "all done trying to increase usage of unit 7955 final usage = 0.97267 684 sec elapsed 60 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00117 0.08364\n",
      "all done trying to increase usage of unit 2067 final usage = 0.89737 854 sec elapsed 46 1 successful, failed patches, couldn't start= 29\n",
      "current avg and SD of usage are 1.00116 0.08274\n",
      "all done trying to increase usage of unit 3196 final usage = 0.97019 1200 sec elapsed 80 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00114 0.081\n",
      "all done trying to increase usage of unit 791 final usage = 0.97082 1511 sec elapsed 66 0 successful, failed patches, couldn't start= 81\n",
      "current avg and SD of usage are 1.00115 0.07967\n",
      "all done trying to increase usage of unit 1983 final usage = 0.93319 1738 sec elapsed 68 0 successful, failed patches, couldn't start= 22\n",
      "current avg and SD of usage are 1.00115 0.0789\n",
      "all done trying to increase usage of unit 3260 final usage = 0.97186 2125 sec elapsed 77 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00114 0.07765\n",
      "all done trying to increase usage of unit 97 final usage = 0.97217 2507 sec elapsed 54 0 successful, failed patches, couldn't start= 77\n",
      "current avg and SD of usage are 1.00114 0.077\n",
      "begin usage increase for unit 1948 with usage 0.79934 . Sec, total UU units tried = 2511 10\n",
      "all done trying to increase usage of unit 1948 final usage = 0.9702 2784 sec elapsed 80 0 successful, failed patches, couldn't start= 48\n",
      "current avg and SD of usage are 1.00113 0.07595\n",
      "all done trying to increase usage of unit 435 final usage = 0.97098 2971 sec elapsed 67 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00112 0.07473\n",
      "all done trying to increase usage of unit 384 final usage = 0.97169 3280 sec elapsed 90 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00112 0.07369\n",
      "all done trying to increase usage of unit 1955 final usage = 0.97109 3560 sec elapsed 62 1 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00112 0.07288\n",
      "all done trying to increase usage of unit 1960 final usage = 0.92812 3773 sec elapsed 57 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00112 0.07219\n",
      "all done trying to increase usage of unit 629 final usage = 0.97134 4070 sec elapsed 64 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00111 0.0711\n",
      "all done trying to increase usage of unit 1942 final usage = 0.97052 4328 sec elapsed 61 0 successful, failed patches, couldn't start= 18\n",
      "current avg and SD of usage are 1.00111 0.07041\n",
      "all done trying to increase usage of unit 2027 final usage = 0.8794 4382 sec elapsed 23 0 successful, failed patches, couldn't start= 20\n",
      "current avg and SD of usage are 1.0011 0.07003\n",
      "all done trying to increase usage of unit 7887 final usage = 0.97036 4862 sec elapsed 89 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.0011 0.0693\n",
      "all done trying to increase usage of unit 2028 final usage = 0.88244 4924 sec elapsed 23 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.0011 0.06904\n",
      "begin usage increase for unit 2061 with usage 0.82638 . Sec, total UU units tried = 4928 20\n",
      "all done trying to increase usage of unit 2061 final usage = 0.97036 5255 sec elapsed 54 0 successful, failed patches, couldn't start= 34\n",
      "current avg and SD of usage are 1.0011 0.06859\n",
      "all done trying to increase usage of unit 1913 final usage = 0.90277 5397 sec elapsed 32 0 successful, failed patches, couldn't start= 21\n",
      "current avg and SD of usage are 1.0011 0.06823\n",
      "all done trying to increase usage of unit 3330 final usage = 0.97414 5641 sec elapsed 54 0 successful, failed patches, couldn't start= 41\n",
      "current avg and SD of usage are 1.00109 0.06729\n",
      "all done trying to increase usage of unit 1930 final usage = 0.94517 5863 sec elapsed 60 0 successful, failed patches, couldn't start= 56\n",
      "current avg and SD of usage are 1.00109 0.06684\n",
      "all done trying to increase usage of unit 2892 final usage = 0.92076 6008 sec elapsed 42 0 successful, failed patches, couldn't start= 36\n",
      "current avg and SD of usage are 1.00109 0.06645\n",
      "all done trying to increase usage of unit 334 final usage = 0.97111 6194 sec elapsed 52 0 successful, failed patches, couldn't start= 12\n",
      "current avg and SD of usage are 1.00108 0.06559\n",
      "all done trying to increase usage of unit 2054 final usage = 0.97219 6633 sec elapsed 55 1 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00108 0.06521\n",
      "all done trying to increase usage of unit 641 final usage = 0.97085 7019 sec elapsed 67 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00108 0.06446\n",
      "all done trying to increase usage of unit 339 final usage = 0.97187 7259 sec elapsed 51 0 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00108 0.06371\n",
      "all done trying to increase usage of unit 2146 final usage = 0.97341 7479 sec elapsed 52 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00107 0.06318\n",
      "begin usage increase for unit 450 with usage 0.84096 . Sec, total UU units tried = 7482 30\n",
      "all done trying to increase usage of unit 450 final usage = 0.97049 7792 sec elapsed 58 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00107 0.06245\n",
      "all done trying to increase usage of unit 2706 final usage = 0.97113 7981 sec elapsed 57 0 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00106 0.06183\n",
      "all done trying to increase usage of unit 4939 final usage = 0.97093 8227 sec elapsed 75 0 successful, failed patches, couldn't start= 14\n",
      "current avg and SD of usage are 1.00105 0.06146\n",
      "all done trying to increase usage of unit 4472 final usage = 0.97106 8358 sec elapsed 38 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00104 0.06086\n",
      "all done trying to increase usage of unit 7931 final usage = 0.97051 9013 sec elapsed 97 1 successful, failed patches, couldn't start= 15\n",
      "current avg and SD of usage are 1.00104 0.06033\n",
      "all done trying to increase usage of unit 466 final usage = 0.97149 9348 sec elapsed 62 0 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00104 0.05978\n"
     ]
    }
   ],
   "source": [
    "#FIRST PATCHING BLOCK - boosting underuse.  Suppresses long strings.  For some states (e.g. MA), do overused first. MA:over-und-over-und\n",
    "print(\"Here, we exchange in under-used, THEN shed over-used\")\n",
    "maxSD = 0.07  #0.07  #0.05   #adjust down if distro already tight\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMinUse = 1. - maxSD\n",
    "#print(\"we will stop patching on individual underused units when their usage exceeds\",r5(stopMinUse))\n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        maxNtries +=1\n",
    "print(\"this would currently cover a total of\",maxNtries,\"units\")\n",
    "maxNtries = int(input(\"enter updated number of units to try boosting usage\"))\n",
    "stopMinUse = float(input(\"enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage below\",stopMinUse)\n",
    "nSmallUsers = 5\n",
    "maxExchangePop = 0.05*aDP \n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP\n",
    "debug1 = int(input(\"enter 1 to print out stats for every patched HD, otherwise enter reporting frequency\"))\n",
    "print(\"Let's further tighten the distro with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "\n",
    "attemptedSmallUs, startTime = list(), time.time()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to increase up to\",maxNtries,\"units' underusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedSmallUs) < maxNtries: \n",
    "    #each round, find the (5) most underused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nSmallFound, smallUsers = 0,0,list()\n",
    "    while nSmallFound < nSmallUsers:\n",
    "        consideredSmallU = idx[idxNo]\n",
    "        if consideredSmallU not in attemptedSmallUs:\n",
    "            smallUsers.append(consideredSmallU)\n",
    "            nSmallFound +=1\n",
    "        idxNo +=1\n",
    "    UUUclusters = [ [b] + unitNbrs[b] for b in smallUsers ]\n",
    "    smallUnderUse = [np.sum([(unitUse[j] - 1.) for j in UUUclusters[i] ]) for i in range(nSmallUsers) ]\n",
    "    smallI = smallUnderUse.index(np.max(smallUnderUse))\n",
    "    UUU = smallUsers[ smallI ]  #pick the unit that centers cluster with least composite use\n",
    "    attemptedSmallUs.append(UUU)  #so we don't try this unit again in a future loop\n",
    "    UUUc = UUUclusters[smallI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    if len(attemptedSmallUs) % debug1 == 0:\n",
    "        print(\"begin usage increase for unit\",UUU,\"with usage\",r5(unitUse[UUU]),\". Sec, total UU units tried =\",\n",
    "              int(time.time()-startTime),len(attemptedSmallUs) )\n",
    "    for u in UUUc.copy():\n",
    "        if unitUse[u] > 1.:\n",
    "            UUUc.remove(u)  #...drop any overused neighbors of the primary UUU from the target sheddable cluster\n",
    "    uuuHDs, uuuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if UUU not in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(UUUc) ) > 0: #the UUU or one of its underused 1-neighbors adjoins this HD\n",
    "                uuuHDs.append(t)  #Note: we'll check later if we can contiguously pick up the UUU's cluster\n",
    "                uuuDists.append( unitCP[UUU].distance(hdCP[t]) / avgDist[t] )\n",
    "        idx0 = np.argsort(uuuDists)\n",
    "    hasCandidates = True\n",
    "    if len(uuuDists) == 0:  #this underused unit is buried inside others; skip it\n",
    "        hasCandidates = False\n",
    "        print(\"   Couldn't find any HDs adjacent to underused unit\",UUU)\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo = 0,0,0,-1\n",
    "    while unitUse[UUU] < stopMinUse and idxNo < 0.8*len(uuuHDs) and hasCandidates: #arbitrarily only examine 80% closest of HDs\n",
    "        excess, giveUpOnShedding = 99*aDP, True  #default = failed swap\n",
    "        idxNo += 1\n",
    "        if idxNo % 20 == 0 and debug1 == 1:\n",
    "            print(\"try to add unit\",UUU,\"from\",abs(idxNo),\"th HD.  Usage up to\",unitUse[UUU] )\n",
    "        t = uuuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).union(set(UUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        loopUUUc = UUUc.copy()  #default; we will add whole cluster\n",
    "        if not (contig and complementContig): #we can't add whole cluster; neighbors may be enclavy.   Try just adding the UUU\n",
    "            trySet = set(HDunitList[t]).union({UUU})\n",
    "            contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "            loopUUUc = [UUU]\n",
    "        if contig and complementContig:  #we can at least add the cluster, let's go for more\n",
    "            HDuuuSet = set(loopUUUc).difference(set(HDunitList[t]))  #the subset of the UUU cluster that adjoins (NOT in) this HD\n",
    "            HDuuuCpop = np.sum([unitPop[u] for u in HDuuuSet])\n",
    "            giveUpOnAdding = False            \n",
    "            addCandidates, addUseDists = list(), list()\n",
    "            uuCandidates = getAdjoiners(trySet, unitNbrs)  #any adjoiner can be picked up, even if far from UUUc\n",
    "            for u in uuCandidates:\n",
    "                if HDuuuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    addCandidates.append(u)  #Below's relative scoring of use and distance is a bit arbitrary\n",
    "                    addUseDists.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t])  #bias toward close, underused\n",
    "            if len(addCandidates) == 0:\n",
    "                giveUpOnAdding = True\n",
    "            while HDuuuCpop < maxExchangePop and not giveUpOnAdding:\n",
    "                addNneighbors = [len( set(unitNbrs[addC]).intersection(trySet) ) for addC in addCandidates ]\n",
    "                addScores = addUseDists.copy()\n",
    "                for jjj, u in enumerate(addCandidates):\n",
    "                    if addNneighbors[jjj] == 1:\n",
    "                        addScores[jjj] += 0.4321    #discourage growing fingers\n",
    "                #print(\"HDuuuCpop is now\",HDuuuCpop)\n",
    "                idx, ij, notYetPicked = np.argsort(addScores), 0, True\n",
    "                while ij < 0.5*len(addScores) and notYetPicked:\n",
    "                    listNo = idx[ij]   #work from low to high score\n",
    "                    addU = addCandidates[listNo]\n",
    "                    cContig = wontEnclave(addU, list(trySet), unitNbrs, borderUnits)  #4/20/24 sub this in as faster? vs below line\n",
    "                    #contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)  #4/20/24 this is unnec slow\n",
    "                    if cContig: #contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDuuuCpop += unitPop[addU]\n",
    "                        HDuuuSet.add(addU)\n",
    "                        trySet.add(addU)\n",
    "                        del addUseDists[addCandidates.index(addU)]\n",
    "                        del addCandidates[addCandidates.index(addU)]                        \n",
    "                        for uu in list(set(unitNbrs[addU]).difference(trySet) ): \n",
    "                            if uu not in addCandidates and unitPop[uu] + HDuuuCpop < maxExchangePop and unitUse[uu] < 1.01:\n",
    "                                addCandidates.append(uu)\n",
    "                                addUseDists.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnAdding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            addSet = HDuuuSet.copy()  #we're done building the list of underused units to add to this HD\n",
    "            trySet = set(HDunitList[t]).union(addSet) \n",
    "            excess = np.sum([unitPop[u] for u in trySet]) - aDP\n",
    "            shedCandidates, shedScores, giveUpOnShedding = list(), list(), False\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if unitPop[u] <= excess + maxGap:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward OVERUSED, far\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            shedSet = set()\n",
    "            while excess > maxGap and not giveUpOnShedding:\n",
    "                #print(\"excess pop is now\",excess,\"for HD\",t)\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    if excess - unitPop[shedU] >= -1*maxGap:\n",
    "                        contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                        if contig and cContig:\n",
    "                            notYetPicked = False\n",
    "                            excess -= unitPop[shedU]\n",
    "                            trySet.remove(shedU)\n",
    "                            shedSet.add(shedU)\n",
    "                            del shedScores[shedCandidates.index(shedU)]\n",
    "                            del shedCandidates[shedCandidates.index(shedU)]\n",
    "                            newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                            for u in newSheddables:\n",
    "                                if excess - unitPop[u] >= -1*maxGap and u not in shedCandidates:\n",
    "                                    shedCandidates.append(u)  #we'll check enclavity if ever picked\n",
    "                                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                            for kkk, u in enumerate(shedCandidates): #checking if this shed eliminates high-pop future sheds ...\n",
    "                                if excess - unitPop[u] < -1*maxGap:\n",
    "                                    del shedScores[kkk]\n",
    "                                    del shedCandidates[kkk]\n",
    "                    ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all shedcandidates would create a discontig, so can't shed enough units to square pop\n",
    "            legitSwap = False\n",
    "            if abs(excess) <= 2.*maxGap:  #giving ourselves a bit more margin after exchanges\n",
    "                contig,cContig, __, ___ = enclaveCheck(list(trySet), unitNbrs) \n",
    "                if contig and cContig:\n",
    "                    legitSwap = True\n",
    "            if legitSwap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t] = np.sum([ unitPop[u] for u in HDunitList[t] ])\n",
    "                nPatchSuccess +=1\n",
    "                #print(\"we added\",addSet,\"and shed units\",shedSet,\"from HD\",t)\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "        else:  #adding neither the UUU cluster or just the UUU worked; couldn't even start\n",
    "            nCouldntStart +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "\n",
    "    print(\"all done trying to increase usage of unit\",UUU,\"final usage =\",r5(unitUse[UUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "861f29d3-b727-49af-90a8-aa9a963e0741",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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06NFt/iAAAHSkHj166OTJk9bnpaWlysnJsft99u/fb/1zcXGxjh49qkGDBkmSPvnkE91888367W9/q2HDhunSSy/V0aO2k1z6+vqqtrbWZtvQoUP10UcfXRCqWmv48OGqra1VUVGRYmNjbR4NFxQGDRp0QV/Vn34WV2BXiHnggQe0f/9+LVu2TMePH9emTZv04osvKiUlRVJ9yktLS9Njjz2mv/3tbzp06JCmT5+u6Oho3XLLLZLqT8qNN96omTNn6uDBg/rkk0+UmpqqW2+9VdHR0R3+AQEAaIvx48fr5Zdf1kcffaRDhw4pOTn5gqsWrbFkyRLt2rVLX375pe644w51797d+p3Yr18/7dixQ/v27dPXX3+t3/3udyosLLR5/SWXXKIDBw7oX//6l06dOqW6ujqlpqaqtLRUt956qz777DMdO3ZML7/88gUXGprSv39/TZ06VdOnT9fWrVuVk5OjgwcPavny5dq2bZsk6b777tP27dv11FNP6dixY3ruuedc6laSZOftpKuuukpvvPGG5s2bpyVLlqhv375auXKlpk6dam3z8MMPq7y8XLNmzVJJSYnGjh2r7du3W+eIkaRXXnlFqampuu6666yT3a1evbrjPhUAwByaW1rDyceZN2+ecnJy9Mtf/lIhISFaunRpm67EPP7447r//vt17NgxxcXF6a233pKvr68kaf78+fr222+VlJSkgIAAzZo1S7fccovOnDljff2DDz6o5ORkDR48WJWVlcrJydEll1yiDz74QA899JASEhLk5eWluLg4XX311a2ua/369Xrsscc0Z84c5efnq3v37hozZox++ctfSpLGjBmjtWvXauHChXr00UeVmJio+fPna+nSpXafg87iYZx/w88ESktLFRISojNnzig4ONjZ5QD2OZEtvZggzdorRce5z7GAJpw9e1Y5OTnq27fvj7/QdoEZe/fs2aNx48apuLhYoaGhDjmmK2j05/1vHf39zdpJAADHa+3SGh2JZTrcDiEGAOAcLK2BdiLEAADQCa699toLhmijY9k1OgkAAMBVEGIAAIApEWIAAA7BrZWuwZE/Z0IMAKBTNUx/X1HhwOHUcJqGn3Nz6zp1FDr2AgA6lZeXl0JDQ63r5gUEBMjDw8PJVaGjGYahiooKFRUVKTQ0tE2zG9uLEAMA6HQN6/GcvwAw3E9oaGiTCzp3NEIMAKDTeXh4qGfPnoqIiGjzooVwfT4+Pg65AtOAEAMAcBgvLy+HfsnBvdGxFwAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBLzxACQSvKkitPNtwkIl0JjHFMPALQCIQbo6krypIxRUk0Li/P5BEgpBwkyAFwGIQbo6ipO1weYSWul7v0bb3PqqLR1Zn1bQgwAF0GIAVCve38pOs7ZVQBAq9GxFwAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBILQAJdwamjbdsHAC6MEAO4s4BwySdA2jqz+XY+AfVtAcBECDGAOwuNkVIOShWnm28XEF7fFgBMhBADuLvQGAIKALdEx14AAGBKhBgAAGBKhBgAAGBKhBgAAGBKhBgAAGBKhBgAAGBKdoWYRYsWycPDw+YxcOBA6/6zZ88qJSVF4eHhCgoK0uTJk1VYWGjzHrm5uZowYYICAgIUERGhhx56SOfOneuYTwMAALoMu+eJufzyy7Vz584f38D7x7d44IEHtG3bNm3ZskUhISFKTU3VpEmT9Mknn0iSamtrNWHCBEVFRWnfvn06efKkpk+fLh8fHy1btqwDPg4AAOgq7A4x3t7eioqKumD7mTNntG7dOm3atEnjx4+XJK1fv16DBg3S/v37NWbMGL3//vs6fPiwdu7cqcjISMXFxWnp0qWaO3euFi1aJF9f3/Z/IgAA0CXY3Sfm2LFjio6O1qWXXqqpU6cqNzdXkpSVlaWamholJiZa2w4cOFC9e/dWZmamJCkzM1NDhgxRZGSktU1SUpJKS0v11VdfNXnMqqoqlZaW2jwAAEDXZleIGT16tDZs2KDt27fr+eefV05Ojq655hr98MMPKigokK+vr0JDQ21eExkZqYKCAklSQUGBTYBp2N+wrynLly9XSEiI9RETwxTqAAB0dXbdTrrpppusfx46dKhGjx6tPn366PXXX5fFYunw4hrMmzdP6enp1uelpaUEGQAAurh2DbEODQ1V//79dfz4cUVFRam6ulolJSU2bQoLC619aKKioi4YrdTwvLF+Ng38/PwUHBxs8wAAAF1bu0JMWVmZvvnmG/Xs2VMjRoyQj4+Pdu3aZd1/5MgR5ebmKj4+XpIUHx+vQ4cOqaioyNpmx44dCg4O1uDBg9tTCuA6SvKkE9lNP04ddWJxAOA+7Lqd9OCDD2rixInq06ePTpw4oYULF8rLy0u33XabQkJCdNdddyk9PV1hYWEKDg7Wvffeq/j4eI0ZM0aSdMMNN2jw4MGaNm2annjiCRUUFGj+/PlKSUmRn59fp3xAwKFK8qSMUVJNRfPtfAKkgHDH1AQAbsquEPP//t//02233abTp0+rR48eGjt2rPbv368ePXpIklasWCFPT09NnjxZVVVVSkpK0po1a6yv9/Ly0ttvv63Zs2crPj5egYGBSk5O1pIlSzr2UwHOUnG6PsBMWit17990u4BwKdSE/bpauopk1s8FwJQ8DMMwnF2EvUpLSxUSEqIzZ87QPwau5US29GKCNGuvFB3n7Go6jj1XmFIOEmQANKqjv7/tnuwOQBcUGlMfTipON93m1FFp68z6NoQYAA5AiAHQOqExhBMALoVVrAEAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCkRYgAAgCl5O7sAAM6TX1Kp4vLqFtt1C/RVr1CLAyoCgNYjxABdVH5JpRKf3qvKmtoW21p8vLRzTgJBBoBLIcQAXVRxebUqa2q1ckqcYiOCmmx3vKhMaZuzVVxeTYgB4FIIMUAXFxsRpCt6hTi7DACwGx17AQCAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKRFiAACAKbUrxDz++OPy8PBQWlqaddvZs2eVkpKi8PBwBQUFafLkySosLLR5XW5uriZMmKCAgABFRETooYce0rlz59pTCgAA6GLaHGI+/fRT/fnPf9bQoUNttj/wwAN66623tGXLFu3du1cnTpzQpEmTrPtra2s1YcIEVVdXa9++fdq4caM2bNigRx99tO2fAgAAdDltCjFlZWWaOnWq1q5dq27dulm3nzlzRuvWrdMzzzyj8ePHa8SIEVq/fr327dun/fv3S5Lef/99HT58WP/zP/+juLg43XTTTVq6dKkyMjJUXV3dMZ8KAAC4vTaFmJSUFE2YMEGJiYk227OyslRTU2OzfeDAgerdu7cyMzMlSZmZmRoyZIgiIyOtbZKSklRaWqqvvvqqLeUAAIAuyNveF7z22mv6+9//rk8//fSCfQUFBfL19VVoaKjN9sjISBUUFFjb/DTANOxv2NeYqqoqVVVVWZ+XlpbaWzYAAHAzdl2JycvL0/33369XXnlF/v7+nVXTBZYvX66QkBDrIyYmxmHHBgAArsmuEJOVlaWioiJdeeWV8vb2lre3t/bu3avVq1fL29tbkZGRqq6uVklJic3rCgsLFRUVJUmKioq6YLRSw/OGNuebN2+ezpw5Y33k5eXZUzYAAHBDdt1Ouu6663To0CGbbTNmzNDAgQM1d+5cxcTEyMfHR7t27dLkyZMlSUeOHFFubq7i4+MlSfHx8frTn/6koqIiRURESJJ27Nih4OBgDR48uNHj+vn5yc/Pz+4PB3QF+SWVKi637RTfLdBXvUItTqoIABzDrhBz0UUX6YorrrDZFhgYqPDwcOv2u+66S+np6QoLC1NwcLDuvfdexcfHa8yYMZKkG264QYMHD9a0adP0xBNPqKCgQPPnz1dKSgpBBbBTfkmlEp/eq8qaWpvtFh8v7ZyTQJAB4Nbs7tjbkhUrVsjT01OTJ09WVVWVkpKStGbNGut+Ly8vvf3225o9e7bi4+MVGBio5ORkLVmypKNLAdxecXm1KmtqtXJKnGIjgiRJx4vKlLY5W8Xl1YQYAG6t3SFmz549Ns/9/f2VkZGhjIyMJl/Tp08fvfPOO+09NIB/i40I0hW9QpxdBgA4FGsnAQAAU+rw20kAOs/5nXiPF5U5sRoAcC5CDGASzXXi7Rbo66SqAMB5CDGASTTWiVdiODWArosQA5gMnXgBoB4dewEAgCkRYgAAgCkRYgAAgCkRYgAAgCnRsRewR0meVHG66f2njnbYodx2TpiWzqEkBYRLoTGOqQeAaRFigNYqyZMyRkk1Fc238wmo/xJupcZWoT5dXq17Xs4y5Zwwx78r01njjPW5zRBwe85hykGCDIBmEWKA1qo4Xf/lO2mt1L1/0+3suIrQ1AR2Un1g2XjnKIX/JLS48pwwRWVVipB0/2vZ+uonIcZmRe3WnMNTR6WtM+vbEmIANIMQA9ire38pOq5D3qqpCewk1w4sjSmtrFGEpAdvGKAe/UdJamZF7Q48hwC6LkIM4ALcaQK7mDCLYt3kswBwbYQYwE2d3xHYbFd2AKAlhBjAzXQL9JXFx0tpm7Ntttv0TQEAN0CIAdxMr1CLds5JuGB4dqN9UwDAxAgxgBvqFWohrABwe4QYAK1CHxsAroYQA6BZ9vax8Ss5Lp2oHy7uf6pMl3vk6Lujvjp+yiK/kuOK0Y9zygBAexBiADSrtX1sav3DVGH4KWb3/dLu+naxkrb5Sdr74/tVGH669eVjennOUK7kAGgXQgyAFrWmj01NUC8lVj2pl267TLE9fpy4r6isSqWVNdbn35T56du3iuhkDKDdCDFAAwcu7uiuTqi7znYfIkX/ONldxL8fDc7mn5FU5OjSALghQgwgddrijgCAzkOIAaROWdwRANC5CDHAT7EwIQCYhqezCwAAAGgLQgwAADAlbicBXchPZ909fwZeADAbQgzQBTQ36263QF/nFAUA7USIAbqAxmbdlVj/CIC5EWKALoKVrQG4Gzr2AgAAU+JKDLoGlhQAALdDiIH7Y0kBAHBLhBi4PxdaUiC/pNKmcy3DnAGg7Qgx6DqcvKRAfkmlEp/eq8qaWpvtDHNuQku3+FjHCujyCDGAgxSXV6uyplYrp8QpNiLIup1hzucJCK+/tbd1ZvPtfAKklIMEGaALI8QADhYbEaQreoU4uwynO/9WmjXMhcbUh5OWOmJvnVnfhhADdFmEGAAO1dzswTvnJPwYZAgnAFpAiAHgUI3NHny8qExpm7NVXF7NrTUArUaIAeBwzB4MoCMwYy8AADAlQgwAADAlQgwAADAlu0LM888/r6FDhyo4OFjBwcGKj4/Xu+++a91/9uxZpaSkKDw8XEFBQZo8ebIKCwtt3iM3N1cTJkxQQECAIiIi9NBDD+ncuXMd82kAAECXYVfH3osvvliPP/64+vXrJ8MwtHHjRt188836/PPPdfnll+uBBx7Qtm3btGXLFoWEhCg1NVWTJk3SJ598Ikmqra3VhAkTFBUVpX379unkyZOaPn26fHx8tGzZsk75gAA6z0/nemEJBQCOZleImThxos3zP/3pT3r++ee1f/9+XXzxxVq3bp02bdqk8ePHS5LWr1+vQYMGaf/+/RozZozef/99HT58WDt37lRkZKTi4uK0dOlSzZ07V4sWLZKvL1OvA2bQ3FwvLKEAwFHaPMS6trZWW7ZsUXl5ueLj45WVlaWamholJiZa2wwcOFC9e/dWZmamxowZo8zMTA0ZMkSRkZHWNklJSZo9e7a++uorDR8+vNFjVVVVqaqqyvq8tLS0rWUD6ACNzfUisYQCAMeyO8QcOnRI8fHxOnv2rIKCgvTGG29o8ODBys7Olq+vr0JDQ23aR0ZGqqCgQJJUUFBgE2Aa9jfsa8ry5cu1ePFie0sF0ImY6wWAs9k9OmnAgAHKzs7WgQMHNHv2bCUnJ+vw4cOdUZvVvHnzdObMGesjLy+vU48HAABcn91XYnx9fRUbGytJGjFihD799FOtWrVKU6ZMUXV1tUpKSmyuxhQWFioqKkqSFBUVpYMHD9q8X8PopYY2jfHz85Ofn5+9pQIAADfW7nli6urqVFVVpREjRsjHx0e7du2y7jty5Ihyc3MVHx8vSYqPj9ehQ4dUVFRkbbNjxw4FBwdr8ODB7S0FAAB0IXZdiZk3b55uuukm9e7dWz/88IM2bdqkPXv26L333lNISIjuuusupaenKywsTMHBwbr33nsVHx+vMWPGSJJuuOEGDR48WNOmTdMTTzyhgoICzZ8/XykpKVxpAQAAdrErxBQVFWn69Ok6efKkQkJCNHToUL333nu6/vrrJUkrVqyQp6enJk+erKqqKiUlJWnNmjXW13t5eentt9/W7NmzFR8fr8DAQCUnJ2vJkiUd+6kAAIDbsyvErFu3rtn9/v7+ysjIUEZGRpNt+vTpo3feeceewwIAAFyAtZMAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIApEWIAAIAptXkVawDNyy+ptFnl+XhRmROrAQD3Q4gBOkF+SaUSn96ryppam+0WHy91C/R1UlWu7/yg1y3Ql5WyATSJEAN0guLyalXW1GrllDjFRgRZt/Ol3Lhugb6y+HgpbXO2zXaLj5d2zkngnAFoFCEG6ESxEUG6oleIs8tweb1CLdo5J+GC229pm7NVXF5NiAHQKEIMAJfQK9RCWAFgF0YnAQAAU+JKDACX1mhnXyfVAsC1EGJgfiV5UsXppvefOuq4WtBhmuvsu3daN0U4pywALoQQA3MryZMyRkk1Fc238wmQAsIdUxM6RHOdfUsra+pDTEsBNSBcCo3p1DoBOA8hBuZWcbo+wExaK3Xv33Q7vsxMqanOvrX+YfXBdOvM5t/AJ0BKOcjPHnBThBi4h+79peg4Z1cBB6kJ6lUfTlq6jbh1Zn0bQgzglggxAMwpNIZwAnRxDLEGAACmRIgBAACmRIgBAACmRIgBAACmRIgBAACmRIgBAACmxBBrAO6NWX0Bt0WIAeCeAsKZ1Rdwc4QYAO4pNIZZfQE3R4gB4L6Y1Rdwa3TsBQAApkSIAQAApkSIAQAApkSIAQAApkSIAQAApkSIAQAApkSIAQAApsQ8MUAHyC+pVHF5tfX58aIyJ1YDAF0DIQZop/ySSiU+vVeVNbU22y0+XuoW6OukqgDA/RFigHYqLq9WZU2tVk6JU2xEkHV7t0Bf9Qq1OLEyAHBvhBjATk3dOoqNCNIVvUKcVRYAdDmEGMAO3DoCANdBiAHswK0jAHAdhBigDbh1BADOxzwxAADAlLgSA+cpyZMqTjffJiBcCo1xTD0AAFOxK8QsX75cW7du1T//+U9ZLBb97Gc/03/+539qwIAB1jZnz57VnDlz9Nprr6mqqkpJSUlas2aNIiMjrW1yc3M1e/Zs7d69W0FBQUpOTtby5cvl7U2m6jJK8qSMUVJNRfPtfAKklINOCzJMYueazv850CcJ6JrsSg179+5VSkqKrrrqKp07d05/+MMfdMMNN+jw4cMKDAyUJD3wwAPatm2btmzZopCQEKWmpmrSpEn65JNPJEm1tbWaMGGCoqKitG/fPp08eVLTp0+Xj4+Pli1b1vGfEK6p4nR9gJm0Vurev/E2p45KW2fWt3VCiGEkkuvpFugri4+X0jZn22y3+Hhp55wEggzQxdgVYrZv327zfMOGDYqIiFBWVpZ+/vOf68yZM1q3bp02bdqk8ePHS5LWr1+vQYMGaf/+/RozZozef/99HT58WDt37lRkZKTi4uK0dOlSzZ07V4sWLZKvL18OXUr3/lJ0XPNtTh1t2752YiSS6+kVatHOOQkXXB1L25yt4vJqfi5AF9Ou+zdnzpyRJIWFhUmSsrKyVFNTo8TERGubgQMHqnfv3srMzNSYMWOUmZmpIUOG2NxeSkpK0uzZs/XVV19p+PDhFxynqqpKVVVV1uelpaXtKRtmERBefztp68zm2/kE1LftJIxEci29Qi2EFQCS2hFi6urqlJaWpquvvlpXXHGFJKmgoEC+vr4KDQ21aRsZGamCggJrm58GmIb9Dfsas3z5ci1evLitpcKsQmPq+8PQ+RcA0Ig2h5iUlBR9+eWX+vjjjzuynkbNmzdP6enp1uelpaWKieFLq0sIjSGgAAAa1aYQk5qaqrffflsffvihLr74Yuv2qKgoVVdXq6SkxOZqTGFhoaKioqxtDh48aPN+hYWF1n2N8fPzk5+fX1tKBQAAbsquye4Mw1BqaqreeOMNffDBB+rbt6/N/hEjRsjHx0e7du2ybjty5Ihyc3MVHx8vSYqPj9ehQ4dUVFRkbbNjxw4FBwdr8ODB7fksANA2p45KJ7KbfpTkObE4AE2x60pMSkqKNm3apL/+9a+66KKLrH1YQkJCZLFYFBISorvuukvp6ekKCwtTcHCw7r33XsXHx2vMmDGSpBtuuEGDBw/WtGnT9MQTT6igoEDz589XSkoKV1vgVMwJ0wXZ03ncifMVAWicXSHm+eeflyRde+21NtvXr1+vO+64Q5K0YsUKeXp6avLkyTaT3TXw8vLS22+/rdmzZys+Pl6BgYFKTk7WkiVL2vdJgHZgTpguqjWdx508XxGAptkVYgzDaLGNv7+/MjIylJGR0WSbPn366J133rHn0ECnYk6YLozO44BpMc8/8BPMCQMA5sEq1gAAwJQIMQAAwJQIMQAAwJToE4POUZLX8ogPAADagRCDjleSJ2WMkmoqmm/XyQs3AgDcGyEGHa/idH2AmbRW6t6/6XYs3Agz6Yirh/ydBzoUIQadp3t/KTrO2VUA7dPaWX1bg5l/gQ5FiAGA5rRmVt/WYOZfoMMRYgCgJczqC7gkQgwAt3D+gp0sGQG4P0IMAFPrFugri4+X0jZn22y3+Hhp55wEggzgxggxAEytV6hFO+ckqLi82rrteFGZ0jZnq7i8mhADuDFCDADT6xVqIawAXRDLDgAAAFPiSgzcSn5Jpc1tBYkOngDgrggxcBv5JZVKfHqvKmtqbbZbfLz0wrQRCg/0tW4j2ACA+RFi4DaKy6tVWVOrlVPiFBsRJEk6XV6te17OUvJ/H7Rpy8gVADA/QgzcTmxEkK7oFWJ9zsgVAHBPhBi4PUauAIB7YnQSAAAwJUIMAAAwJUIMAAAwJUIMAAAwJUIMAAAwJUIMAAAwJYZYo8s6XlTW6J8BAOZAiIEpNLYm0vlaG0S6BfrK4uOltM3ZNtstPl7q9pOlCQAAro0QA5fX1JpIjWlNEOkVarlgFl+J9ZQAwGwIMXB5ja2J1JTWBhFm8QUA8yPEwDTOXxMJANC1MToJAACYEiEGAACYEiEGAACYEn1i4FSNDZ1mlBAAoDUIMXCapoZOW3y8tHNOAkEGANAsQgycprGh08eLypS2OVuf5nyv4p9sAwDgfIQYON1Ph04zmy4AoLUIMXApzKaLjnT+VTz+HgHuhRADl8Nsumiv5q7o0d8KcB+EGABup7Ereg39rYrLqwkxgJsgxABwS1zRA9wfk90BAABT4koM7FeSJ1Wcbnr/qaOOqwUA0GXZfSXmww8/1MSJExUdHS0PDw+9+eabNvsNw9Cjjz6qnj17ymKxKDExUceOHbNp8/3332vq1KkKDg5WaGio7rrrLpWVMReIKZTkSRmjpBcTmn5snSn5BEgB4c6uFgDgxuy+ElNeXq5hw4bpzjvv1KRJky7Y/8QTT2j16tXauHGj+vbtqwULFigpKUmHDx+Wv7+/JGnq1Kk6efKkduzYoZqaGs2YMUOzZs3Spk2b2v+J0LkqTks1FdKktVL3/k23CwiXQmMcVxcAoMuxO8TcdNNNuummmxrdZxiGVq5cqfnz5+vmm2+WJL300kuKjIzUm2++qVtvvVVff/21tm/frk8//VQjR46UJD377LP6xS9+oaeeekrR0dHt+DhwmO79peg4Z1cBAOjCOrRjb05OjgoKCpSYmGjdFhISotGjRyszM1OSlJmZqdDQUGuAkaTExER5enrqwIEDjb5vVVWVSktLbR4AAKBr69COvQUFBZKkyMhIm+2RkZHWfQUFBYqIiLAtwttbYWFh1jbnW758uRYvXtyRpQKAc7TU8Z1bsUCrmWJ00rx585Senm59XlpaqpgY/icHYCIB4fUd3rfObL6dT4CUcpAgA7RCh4aYqKgoSVJhYaF69uxp3V5YWKi4uDhrm6KiIpvXnTt3Tt9//7319efz8/OTn59fR5YKAI4VGlMfTlqanmDrzPo2hBigRR0aYvr27auoqCjt2rXLGlpKS0t14MABzZ49W5IUHx+vkpISZWVlacSIEZKkDz74QHV1dRo9enRHlgMAriU0hnACdCC7Q0xZWZmOHz9ufZ6Tk6Ps7GyFhYWpd+/eSktL02OPPaZ+/fpZh1hHR0frlltukSQNGjRIN954o2bOnKkXXnhBNTU1Sk1N1a233srIJACdjpWtAfdhd4j57LPPNG7cOOvzhr4qycnJ2rBhgx5++GGVl5dr1qxZKikp0dixY7V9+3brHDGS9Morryg1NVXXXXedPD09NXnyZK1evboDPg4ANI6VrQH3Y3eIufbaa2UYRpP7PTw8tGTJEi1ZsqTJNmFhYUxsB8ChWNkacD+mGJ0E95BfUnnBFwjgSKZZ2Zph2ECrEGLgEPkllUp8eq8qa2pttlt8vNQt0NdJVQEuhmHYgF0IMXCI4vJqVdbUauWUOMVGBFm306kS+AmGYQN2IcTAoWIjgnRFrxBnlwG4LoZhA63WoWsnAQAAOAohBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIhBgAAmBIz9sJWSV7LU54Dbub8xUhZDgMwB0IMflSSJ2WMkmoqmm/nE1C/UB1gct0CfWXx8VLa5myb7RYfL+2ck0CQAVwcIcZdtHQFRaoPHs2tyVJxuj7ATForde/f9vdR/arVxeXV1ufn/6YLuIJeoRbtnJNwwd/VtM3ZKi6vJsQALo4Q4w7suYKScrDlxeW695ei49pcTn5JpRKf3qvKmlqb7RYfL3UL9G3z+wKdoVeohbACmBQhxh205grKqaPS1pn1bTt5hdzi8mpV1tRq5ZQ4xUYEWbfTzwBmQj8ZwPURYtxJO6+gdLTYiCBd0SvE2WUAdjFNP5mWOtm34rYvYHaEGAD4CZfvJxMQXn9reOvM5tu19vYxYGKEmK6mud/eGD4NSHLxfjKhMfXhpKWpEBx0+xhwJkJMV2HPb28MnwZcW2gM4QQQIabraM1vbxL30QF3Qr8ZuDlCTFfCb29Au5hmxBL9ZtBFEGIAoAWmGbHUgH4z6CIIMQDQAntGLJ0/W7XkpCs2XHlFF0CIAYBWaM2IpeZmq3bJKzaAyRFinK0j1jwC4BIam63apeaYaUxHTK3Av1FwEkKMM9mz5tGUl6WA7o3vZ34XwKWYYrbq1nb+bQ06CMNJCDHO1Jo1jypOSZunSf8zufn3Yn4XAPZo7bQLLaGDMJyIEOMKWlrziPldAJf102HX5w/Bdnl0/oXJEWLMgH9oAJfT3LDrboG+zikK6GIIMWi384eUmu63UaANGht2LbnwBHidjdmB4QSEmLZqzaiilrhBh9zmhpTy2yjcnUsvFOkoHTk7MKM1YSdCTFu0dlRRa5i8Q25jQ0qlLvzbKNDVdNTswPaM1mQkFP6NENMWrRlV1Fpu8luFKYaUAugcHdFvrzX/rjISCuchxLRHS6OKAAD2ac2/q/S/wb8RYgAA5sDq3DgPIQYAnKCxhSIbQ/+yn7Cn/01uZvPtuFrjFggxAOBgTY3qawyLR56npf43XK3pUggxsAtzwgBtc/7Mvo2N6mvsNWmbs/VpzvcqdofRf831ZemoKSc6arQUTIEQg1ZjThjAfs3N7HtV37Bmw0hzrzXV1Rl7ro50xJQTzHLeZRBi0GrMCQPYrz0z+zb22oarM8Xl1eb5/661i03STwV2IsQ0pqVZI91gpt32YE4YwD7tmdm3qde25lauS/2CYcarI8wg7PKcGmIyMjL05JNPqqCgQMOGDdOzzz6rUaNGObMk+2aNNPFMuwDMqalbTI0x3W0nR2vuF9KKU9Lmacwg7OKcFmI2b96s9PR0vfDCCxo9erRWrlyppKQkHTlyRBEREc4qq/Wz8ZK+AThBU7enzud2nYI7kj19dH77Fymge+P7Hd1BuLVr9rXm+8lNrjI5LcQ888wzmjlzpmbMmCFJeuGFF7Rt2zb993//tx555BFnlfWjLjYbb2NzVvCPHeCaWnN7ym06BXeGju6j0xEzCLcUKlp7ZUiqD19TXm46fLnRVSanhJjq6mplZWVp3rx51m2enp5KTExUZmbmBe2rqqpUVVVlfX7mzBlJUmlpaccX90OZVGXU/7cz3t8FnSip1H8897HO1tTZbPf38dTKW4crLMBHkvTtd+Wqq6pQ2Q+lKi31cEapAFrpIk/pjZnDVVLx4y8n335Xrke2HlJewSld5NnF+7V5hkhBrTgHzX0PnPOVav2lV+9u/j28LdKkF5vuglBxWto6SzpX2Yr3ean5rgwN77VuUvve6/Rx6a37pML/qz9XHaThe9swjI55Q8MJ8vPzDUnGvn37bLY/9NBDxqhRoy5ov3DhQkMSDx48ePDgwcMNHnl5eR2SJ0wxOmnevHlKT0+3Pq+rq9P333+v8PBweXi49xWB0tJSxcTEKC8vT8HBwc4ux+VwflrGOWoe56dlnKOWcY6a13B+cnNz5eHhoejo6A55X6eEmO7du8vLy0uFhYU22wsLCxUVFXVBez8/P/n5+dlsCw0N7cwSXU5wcDD/YzSD89MyzlHzOD8t4xy1jHPUvJCQkA49P54d9k528PX11YgRI7Rr1y7rtrq6Ou3atUvx8fHOKAkAAJiM024npaenKzk5WSNHjtSoUaO0cuVKlZeXW0crAQAANMdpIWbKlCn67rvv9Oijj6qgoEBxcXHavn27IiMjnVWSS/Lz89PChQsvuJ2GepyflnGOmsf5aRnnqGWco+Z11vnxMIyOGucEAADgOE7pEwMAANBehBgAAGBKhBgAAGBKhBgAAGBKhBgny8jI0CWXXCJ/f3+NHj1aBw8ebLb9ypUrNWDAAFksFsXExOiBBx7Q2bNnHVStc9hzjmpqarRkyRJddtll8vf317Bhw7R9+3YHVutYH374oSZOnKjo6Gh5eHjozTffbPE1e/bs0ZVXXik/Pz/FxsZqw4YNnV6nM9l7jk6ePKnbb79d/fv3l6enp9LS0hxSpzPZe462bt2q66+/Xj169FBwcLDi4+P13nvvOaZYJ7D3/Hz88ce6+uqrFR4eLovFooEDB2rFihWOKdZJ2vJvUYNPPvlE3t7eiouLs/u4hBgn2rx5s9LT07Vw4UL9/e9/17Bhw5SUlKSioqJG22/atEmPPPKIFi5cqK+//lrr1q3T5s2b9Yc//MHBlTuOvedo/vz5+vOf/6xnn31Whw8f1j333KNf/epX+vzzzx1cuWOUl5dr2LBhysjIaFX7nJwcTZgwQePGjVN2drbS0tJ09913u/UXkL3nqKqqSj169ND8+fM1bNiwTq7ONdh7jj788ENdf/31euedd5SVlaVx48Zp4sSJ/H/2b4GBgUpNTdWHH36or7/+WvPnz9f8+fP14osvdnKlzmPvOWpQUlKi6dOn67rrrmvbgTtkBSa0yahRo4yUlBTr89raWiM6OtpYvnx5o+1TUlKM8ePH22xLT083rr766k6t05nsPUc9e/Y0nnvuOZttkyZNMqZOndqpdboCScYbb7zRbJuHH37YuPzyy222TZkyxUhKSurEylxHa87RTyUkJBj3339/p9Xjiuw9Rw0GDx5sLF68uOMLcjFtPT+/+tWvjN/+9rcdX5ALsuccTZkyxZg/f76xcOFCY9iwYXYfiysxTlJdXa2srCwlJiZat3l6eioxMVGZmZmNvuZnP/uZsrKyrLdTvv32W73zzjv6xS9+4ZCaHa0t56iqqkr+/v422ywWiz7++ONOrdUsMjMzbc6nJCUlJTV5PoHWqKur0w8//KCwsDBnl+KSPv/8c+3bt08JCQnOLsWlrF+/Xt9++60WLlzY5vcwxSrW7ujUqVOqra29YIbiyMhI/fOf/2z0NbfffrtOnTqlsWPHyjAMnTt3Tvfcc4/b3k5qyzlKSkrSM888o5///Oe67LLLtGvXLm3dulW1tbWOKNnlFRQUNHo+S0tLVVlZKYvF4qTKYGZPPfWUysrK9Jvf/MbZpbiUiy++WN99953OnTunRYsW6e6773Z2SS7j2LFjeuSRR/TRRx/J27vtUYQrMSayZ88eLVu2TGvWrNHf//53bd26Vdu2bdPSpUudXZrLWLVqlfr166eBAwfK19dXqampmjFjhjw9+asOdIZNmzZp8eLFev311xUREeHsclzKRx99pM8++0wvvPCCVq5cqVdffdXZJbmE2tpa3X777Vq8eLH69+/frvfiSoyTdO/eXV5eXiosLLTZXlhYqKioqEZfs2DBAk2bNs2a5ocMGaLy8nLNmjVLf/zjH93ui7ot56hHjx568803dfbsWZ0+fVrR0dF65JFHdOmllzqiZJcXFRXV6PkMDg7mKgzs9tprr+nuu+/Wli1bLrhNCalv376S6v+tLiws1KJFi3Tbbbc5uSrn++GHH/TZZ5/p888/V2pqqqT6W5KGYcjb21vvv/++xo8f36r3cq9vPRPx9fXViBEjtGvXLuu2uro67dq1S/Hx8Y2+pqKi4oKg4uXlJUky3HAJrLacowb+/v7q1auXzp07p7/85S+6+eabO7tcU4iPj7c5n5K0Y8eOFs8ncL5XX31VM2bM0KuvvqoJEyY4uxyXV1dXp6qqKmeX4RKCg4N16NAhZWdnWx/33HOPBgwYoOzsbI0ePbrV78WVGCdKT09XcnKyRo4cqVGjRmnlypUqLy/XjBkzJEnTp09Xr169tHz5cknSxIkT9cwzz2j48OEaPXq0jh8/rgULFmjixInWMONu7D1HBw4cUH5+vuLi4pSfn69Fixaprq5ODz/8sDM/RqcpKyvT8ePHrc9zcnKUnZ2tsLAw9e7dW/PmzVN+fr5eeuklSdI999yj5557Tg8//LDuvPNOffDBB3r99de1bds2Z32ETmfvOZKk7Oxs62u/++47ZWdny9fXV4MHD3Z0+Q5h7znatGmTkpOTtWrVKo0ePVoFBQWS6jvRh4SEOOUzdCZ7z09GRoZ69+6tgQMHSqofkv7UU0/pvvvuc0r9jmDPOfL09NQVV1xh8/qIiAj5+/tfsL1Fdo9nQod69tlnjd69exu+vr7GqFGjjP3791v3JSQkGMnJydbnNTU1xqJFi4zLLrvM8Pf3N2JiYozf//73RnFxseMLdyB7ztGePXuMQYMGGX5+fkZ4eLgxbdo0Iz8/3wlVO8bu3bsNSRc8Gs5JcnKykZCQcMFr4uLiDF9fX+PSSy811q9f7/C6Hakt56ix9n369HF47Y5i7zlKSEhotr27sff8rF692rj88suNgIAAIzg42Bg+fLixZs0ao7a21jkfwAHa8v/ZT7V1iLWHYbjhfQgAAOD26BMDAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABMiRADAABM6f8DrslVnLAOjFQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.0012 1.00104 and their SDs are 0.08895 0.05978\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 9178\n",
      "working on HD 300 out of 9178\n",
      "working on HD 600 out of 9178\n",
      "working on HD 900 out of 9178\n",
      "working on HD 1200 out of 9178\n",
      "working on HD 1500 out of 9178\n",
      "working on HD 1800 out of 9178\n",
      "working on HD 2100 out of 9178\n",
      "working on HD 2400 out of 9178\n",
      "working on HD 2700 out of 9178\n",
      "working on HD 3000 out of 9178\n",
      "working on HD 3300 out of 9178\n",
      "working on HD 3600 out of 9178\n",
      "working on HD 3900 out of 9178\n",
      "working on HD 4200 out of 9178\n",
      "working on HD 4500 out of 9178\n",
      "working on HD 4800 out of 9178\n",
      "working on HD 5100 out of 9178\n",
      "working on HD 5400 out of 9178\n",
      "working on HD 5700 out of 9178\n",
      "working on HD 6000 out of 9178\n",
      "working on HD 6300 out of 9178\n",
      "working on HD 6600 out of 9178\n",
      "working on HD 6900 out of 9178\n",
      "working on HD 7200 out of 9178\n",
      "working on HD 7500 out of 9178\n",
      "working on HD 7800 out of 9178\n",
      "working on HD 8100 out of 9178\n",
      "working on HD 8400 out of 9178\n",
      "working on HD 8700 out of 9178\n",
      "working on HD 9000 out of 9178\n",
      "all done checking HD and complement contiguity for all 9178 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "1ee72cf0-618e-411f-aa37-518ac2c679ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "#optional intermediate save\n",
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"underPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "77c07848-50c2-4fe9-8841-768b02bf4ac4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default use threshold for moving on to next overused unit is 1.08\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMaxUse value 1.03\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 2733 units out of 8800 with usage above 1.03\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this block reduces overuse, with exchanges up to 38243\n",
      "current avg and SD of unit usage are 1.00104 0.05978 . Now trying to reduce up to 2733 units' overusage\n",
      "starting to reduce usage for unit 7709 with usage 1.17903 . Total units tried = 1\n",
      "try to drop unit 7709 from 15 th HD.  usage down to 1.1505773416289868\n",
      "try to drop unit 7709 from 30 th HD.  usage down to 1.1183664162058085\n",
      "try to drop unit 7709 from 45 th HD.  usage down to 1.089340367769716\n",
      "try to drop unit 7709 from 60 th HD.  usage down to 1.0594278880539694\n",
      "try to drop unit 7709 from 75 th HD.  usage down to 1.0362708514384986\n",
      "all done trying to reduce usage of unit 7709 final usage = 1.02959 23 sec elapsed 61 0 successful, failed patches, couldn't start= 17\n",
      "current avg and SD of usage are 1.00101 0.05852\n",
      "starting to reduce usage for unit 382 with usage 1.16995 . Total units tried = 2\n",
      "try to drop unit 382 from 24 th HD.  usage down to 1.1015085328431244\n",
      "try to drop unit 382 from 48 th HD.  usage down to 1.0393302160320046\n",
      "all done trying to reduce usage of unit 382 final usage = 1.02931 53 sec elapsed 45 1 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00098 0.0574\n",
      "starting to reduce usage for unit 4589 with usage 1.17174 . Total units tried = 3\n",
      "try to drop unit 4589 from 28 th HD.  usage down to 1.1127078991286103\n",
      "try to drop unit 4589 from 56 th HD.  usage down to 1.0321080237181262\n",
      "all done trying to reduce usage of unit 4589 final usage = 1.0299 97 sec elapsed 53 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00095 0.05646\n",
      "starting to reduce usage for unit 3758 with usage 1.15838 . Total units tried = 4\n",
      "try to drop unit 3758 from 37 th HD.  usage down to 1.1232496327685784\n",
      "try to drop unit 3758 from 74 th HD.  usage down to 1.0895194844147695\n",
      "try to drop unit 3758 from 111 th HD.  usage down to 1.0478402178009039\n",
      "all done trying to reduce usage of unit 3758 final usage = 1.02952 211 sec elapsed 117 0 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00095 0.05545\n",
      "starting to reduce usage for unit 5590 with usage 1.14902 . Total units tried = 5\n",
      "try to drop unit 5590 from 34 th HD.  usage down to 1.1220389611387898\n",
      "try to drop unit 5590 from 68 th HD.  usage down to 1.084502910933828\n",
      "try to drop unit 5590 from 102 th HD.  usage down to 1.0418012412806033\n",
      "all done trying to reduce usage of unit 5590 final usage = 1.02886 301 sec elapsed 89 0 successful, failed patches, couldn't start= 20\n",
      "current avg and SD of usage are 1.00094 0.05465\n",
      "starting to reduce usage for unit 8758 with usage 1.15051 . Total units tried = 6\n",
      "try to drop unit 8758 from 35 th HD.  usage down to 1.1062596999084169\n",
      "try to drop unit 8758 from 70 th HD.  usage down to 1.0412442800340898\n",
      "all done trying to reduce usage of unit 8758 final usage = 1.02909 376 sec elapsed 55 0 successful, failed patches, couldn't start= 18\n",
      "current avg and SD of usage are 1.00093 0.05372\n",
      "starting to reduce usage for unit 331 with usage 1.15998 . Total units tried = 7\n",
      "try to drop unit 331 from 27 th HD.  usage down to 1.1309895637059384\n",
      "try to drop unit 331 from 54 th HD.  usage down to 1.1138087474139384\n",
      "try to drop unit 331 from 81 th HD.  usage down to 1.0960657401923626\n",
      "try to drop unit 331 from 108 th HD.  usage down to 1.0691616356602276\n",
      "try to drop unit 331 from 135 th HD.  usage down to 1.0412534319794544\n",
      "all done trying to reduce usage of unit 331 final usage = 1.03722 503 sec elapsed 54 0 successful, failed patches, couldn't start= 84\n",
      "current avg and SD of usage are 1.00092 0.05281\n",
      "starting to reduce usage for unit 2520 with usage 1.1453 . Total units tried = 8\n",
      "try to drop unit 2520 from 27 th HD.  usage down to 1.111261891761031\n",
      "try to drop unit 2520 from 54 th HD.  usage down to 1.075348350727245\n",
      "try to drop unit 2520 from 81 th HD.  usage down to 1.0381626892876943\n",
      "all done trying to reduce usage of unit 2520 final usage = 1.02928 712 sec elapsed 83 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00091 0.05193\n",
      "starting to reduce usage for unit 3241 with usage 1.14881 . Total units tried = 9\n",
      "try to drop unit 3241 from 35 th HD.  usage down to 1.093836587785553\n",
      "try to drop unit 3241 from 70 th HD.  usage down to 1.0518618440784746\n",
      "all done trying to reduce usage of unit 3241 final usage = 1.02963 819 sec elapsed 50 0 successful, failed patches, couldn't start= 35\n",
      "current avg and SD of usage are 1.0009 0.05119\n",
      "starting to reduce usage for unit 3767 with usage 1.12392 . Total units tried = 10\n",
      "try to drop unit 3767 from 22 th HD.  usage down to 1.0851540064755247\n",
      "try to drop unit 3767 from 44 th HD.  usage down to 1.040291170295349\n",
      "all done trying to reduce usage of unit 3767 final usage = 1.0273 846 sec elapsed 32 1 successful, failed patches, couldn't start= 15\n",
      "current avg and SD of usage are 1.00089 0.05055\n",
      "starting to reduce usage for unit 1283 with usage 1.11375 . Total units tried = 11\n",
      "try to drop unit 1283 from 34 th HD.  usage down to 1.0859907557661803\n",
      "try to drop unit 1283 from 68 th HD.  usage down to 1.0494104301414975\n",
      "all done trying to reduce usage of unit 1283 final usage = 1.02847 1173 sec elapsed 72 0 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00088 0.04988\n",
      "starting to reduce usage for unit 3475 with usage 1.13144 . Total units tried = 12\n",
      "try to drop unit 3475 from 32 th HD.  usage down to 1.0886474347635515\n",
      "try to drop unit 3475 from 64 th HD.  usage down to 1.050253716535797\n",
      "all done trying to reduce usage of unit 3475 final usage = 1.02957 1307 sec elapsed 70 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00087 0.04908\n",
      "starting to reduce usage for unit 4038 with usage 1.10812 . Total units tried = 13\n",
      "try to drop unit 4038 from 20 th HD.  usage down to 1.0870210033300214\n",
      "try to drop unit 4038 from 40 th HD.  usage down to 1.0617851676958872\n",
      "all done trying to reduce usage of unit 4038 final usage = 1.02938 1374 sec elapsed 47 0 successful, failed patches, couldn't start= 10\n",
      "current avg and SD of usage are 1.00087 0.04867\n",
      "starting to reduce usage for unit 3693 with usage 1.10412 . Total units tried = 14\n",
      "try to drop unit 3693 from 29 th HD.  usage down to 1.0602947080221614\n",
      "all done trying to reduce usage of unit 3693 final usage = 1.02596 1479 sec elapsed 45 0 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00086 0.0481\n",
      "starting to reduce usage for unit 7619 with usage 1.10138 . Total units tried = 15\n",
      "all done trying to reduce usage of unit 7619 final usage = 1.02967 1515 sec elapsed 21 3 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00084 0.04769\n",
      "starting to reduce usage for unit 6892 with usage 1.10229 . Total units tried = 16\n",
      "try to drop unit 6892 from 39 th HD.  usage down to 1.0510172502635098\n",
      "all done trying to reduce usage of unit 6892 final usage = 1.02963 1672 sec elapsed 50 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00084 0.04724\n",
      "starting to reduce usage for unit 1 with usage 1.09593 . Total units tried = 17\n",
      "all done trying to reduce usage of unit 1 final usage = 1.02953 1745 sec elapsed 20 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00083 0.04683\n",
      "starting to reduce usage for unit 3744 with usage 1.09234 . Total units tried = 18\n",
      "try to drop unit 3744 from 39 th HD.  usage down to 1.0517951656194997\n",
      "all done trying to reduce usage of unit 3744 final usage = 1.02948 1826 sec elapsed 60 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00083 0.04653\n",
      "starting to reduce usage for unit 839 with usage 1.11344 . Total units tried = 19\n",
      "try to drop unit 839 from 25 th HD.  usage down to 1.066214709252673\n",
      "all done trying to reduce usage of unit 839 final usage = 1.029 1937 sec elapsed 46 0 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00082 0.04598\n",
      "starting to reduce usage for unit 7837 with usage 1.08474 . Total units tried = 20\n",
      "try to drop unit 7837 from 37 th HD.  usage down to 1.0572196543794268\n",
      "try to drop unit 7837 from 74 th HD.  usage down to 1.0505844939896618\n",
      "try to drop unit 7837 from 111 th HD.  usage down to 1.0376750213416734\n",
      "try to drop unit 7837 from 148 th HD.  usage down to 1.0355426180715843\n",
      "all done trying to reduce usage of unit 7837 final usage = 1.02811 1999 sec elapsed 28 1 successful, failed patches, couldn't start= 137\n",
      "current avg and SD of usage are 1.00082 0.04558\n",
      "starting to reduce usage for unit 4576 with usage 1.08414 . Total units tried = 21\n",
      "try to drop unit 4576 from 24 th HD.  usage down to 1.037307636106325\n",
      "all done trying to reduce usage of unit 4576 final usage = 1.02986 2037 sec elapsed 21 0 successful, failed patches, couldn't start= 5\n",
      "current avg and SD of usage are 1.00081 0.04517\n",
      "starting to reduce usage for unit 3826 with usage 1.08203 . Total units tried = 22\n",
      "all done trying to reduce usage of unit 3826 final usage = 1.02878 2069 sec elapsed 15 6 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.0008 0.04483\n",
      "starting to reduce usage for unit 2293 with usage 1.07877 . Total units tried = 23\n",
      "try to drop unit 2293 from 27 th HD.  usage down to 1.0431740330855253\n",
      "all done trying to reduce usage of unit 2293 final usage = 1.02942 2299 sec elapsed 35 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.0008 0.04451\n",
      "starting to reduce usage for unit 7631 with usage 1.08012 . Total units tried = 24\n",
      "try to drop unit 7631 from 12 th HD.  usage down to 1.0616034362093596\n",
      "try to drop unit 7631 from 24 th HD.  usage down to 1.0481108538995303\n",
      "all done trying to reduce usage of unit 7631 final usage = 1.02933 2315 sec elapsed 24 7 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00079 0.0442\n",
      "starting to reduce usage for unit 279 with usage 1.07627 . Total units tried = 25\n",
      "all done trying to reduce usage of unit 279 final usage = 1.02802 2329 sec elapsed 14 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00078 0.04391\n",
      "starting to reduce usage for unit 7669 with usage 1.07623 . Total units tried = 26\n",
      "try to drop unit 7669 from 23 th HD.  usage down to 1.0446762595460417\n",
      "all done trying to reduce usage of unit 7669 final usage = 1.02821 2347 sec elapsed 15 7 successful, failed patches, couldn't start= 7\n",
      "current avg and SD of usage are 1.00078 0.04356\n",
      "starting to reduce usage for unit 4042 with usage 1.07413 . Total units tried = 27\n",
      "try to drop unit 4042 from 21 th HD.  usage down to 1.0492143170264219\n",
      "all done trying to reduce usage of unit 4042 final usage = 1.02858 2383 sec elapsed 26 0 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00077 0.04334\n",
      "starting to reduce usage for unit 8280 with usage 1.07295 . Total units tried = 28\n",
      "try to drop unit 8280 from 58 th HD.  usage down to 1.0729453113583942\n",
      "try to drop unit 8280 from 116 th HD.  usage down to 1.0729453113583942\n",
      "try to drop unit 8280 from 174 th HD.  usage down to 1.0729453113583942\n",
      "try to drop unit 8280 from 232 th HD.  usage down to 1.0729453113583942\n",
      "try to drop unit 8280 from 290 th HD.  usage down to 1.0729453113583942\n",
      "all done trying to reduce usage of unit 8280 final usage = 1.07295 2408 sec elapsed 0 0 successful, failed patches, couldn't start= 290\n",
      "current avg and SD of usage are 1.00077 0.04334\n",
      "starting to reduce usage for unit 8306 with usage 1.07295 . Total units tried = 29\n",
      "all done trying to reduce usage of unit 8306 final usage = 1.02968 2450 sec elapsed 21 1 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00077 0.04303\n",
      "starting to reduce usage for unit 4911 with usage 1.07023 . Total units tried = 30\n",
      "try to drop unit 4911 from 24 th HD.  usage down to 1.061496227706506\n",
      "try to drop unit 4911 from 48 th HD.  usage down to 1.046447814684595\n",
      "all done trying to reduce usage of unit 4911 final usage = 1.02878 2463 sec elapsed 10 5 successful, failed patches, couldn't start= 40\n",
      "current avg and SD of usage are 1.00076 0.04279\n",
      "starting to reduce usage for unit 4524 with usage 1.06935 . Total units tried = 31\n",
      "all done trying to reduce usage of unit 4524 final usage = 1.02885 2475 sec elapsed 12 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00075 0.04258\n",
      "starting to reduce usage for unit 1716 with usage 1.06924 . Total units tried = 32\n",
      "try to drop unit 1716 from 36 th HD.  usage down to 1.0430772839488058\n",
      "all done trying to reduce usage of unit 1716 final usage = 1.02965 2530 sec elapsed 41 0 successful, failed patches, couldn't start= 6\n",
      "current avg and SD of usage are 1.00075 0.04235\n",
      "starting to reduce usage for unit 8549 with usage 1.06746 . Total units tried = 33\n",
      "try to drop unit 8549 from 26 th HD.  usage down to 1.0545485937536399\n",
      "all done trying to reduce usage of unit 8549 final usage = 1.02709 2675 sec elapsed 30 0 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00075 0.04214\n",
      "starting to reduce usage for unit 7602 with usage 1.06742 . Total units tried = 34\n",
      "try to drop unit 7602 from 27 th HD.  usage down to 1.0404271420550684\n",
      "try to drop unit 7602 from 54 th HD.  usage down to 1.0314830765917427\n",
      "all done trying to reduce usage of unit 7602 final usage = 1.0287 2683 sec elapsed 15 0 successful, failed patches, couldn't start= 40\n",
      "current avg and SD of usage are 1.00074 0.04193\n",
      "starting to reduce usage for unit 4629 with usage 1.06734 . Total units tried = 35\n",
      "try to drop unit 4629 from 21 th HD.  usage down to 1.0574641420627775\n",
      "try to drop unit 4629 from 42 th HD.  usage down to 1.0393955870703542\n",
      "try to drop unit 4629 from 63 th HD.  usage down to 1.0333186953478672\n",
      "all done trying to reduce usage of unit 4629 final usage = 1.02791 2732 sec elapsed 15 0 successful, failed patches, couldn't start= 54\n",
      "current avg and SD of usage are 1.00074 0.04171\n",
      "starting to reduce usage for unit 3945 with usage 1.06659 . Total units tried = 36\n",
      "try to drop unit 3945 from 39 th HD.  usage down to 1.034853607327738\n",
      "all done trying to reduce usage of unit 3945 final usage = 1.02974 2791 sec elapsed 34 0 successful, failed patches, couldn't start= 11\n",
      "current avg and SD of usage are 1.00073 0.04152\n",
      "starting to reduce usage for unit 7771 with usage 1.06671 . Total units tried = 37\n",
      "all done trying to reduce usage of unit 7771 final usage = 1.02773 2814 sec elapsed 13 3 successful, failed patches, couldn't start= 8\n",
      "current avg and SD of usage are 1.00073 0.04125\n",
      "starting to reduce usage for unit 3619 with usage 1.06556 . Total units tried = 38\n",
      "try to drop unit 3619 from 36 th HD.  usage down to 1.0621486306689527\n",
      "try to drop unit 3619 from 72 th HD.  usage down to 1.0586682765886466\n",
      "try to drop unit 3619 from 108 th HD.  usage down to 1.0586395133317845\n",
      "try to drop unit 3619 from 144 th HD.  usage down to 1.057168664969521\n",
      "try to drop unit 3619 from 180 th HD.  usage down to 1.0533418443861047\n",
      "all done trying to reduce usage of unit 3619 final usage = 1.05334 2855 sec elapsed 5 0 successful, failed patches, couldn't start= 176\n",
      "current avg and SD of usage are 1.00073 0.04118\n",
      "starting to reduce usage for unit 3526 with usage 1.0642 . Total units tried = 39\n",
      "all done trying to reduce usage of unit 3526 final usage = 1.0294 2885 sec elapsed 11 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00072 0.04096\n",
      "starting to reduce usage for unit 8278 with usage 1.09015 . Total units tried = 40\n",
      "try to drop unit 8278 from 25 th HD.  usage down to 1.0488207833757437\n",
      "all done trying to reduce usage of unit 8278 final usage = 1.02975 2958 sec elapsed 31 9 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00072 0.04058\n",
      "starting to reduce usage for unit 4715 with usage 1.06332 . Total units tried = 41\n",
      "all done trying to reduce usage of unit 4715 final usage = 1.0289 2975 sec elapsed 13 2 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00072 0.04039\n",
      "starting to reduce usage for unit 7685 with usage 1.06197 . Total units tried = 42\n",
      "all done trying to reduce usage of unit 7685 final usage = 1.02974 2988 sec elapsed 12 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00071 0.04018\n",
      "starting to reduce usage for unit 1635 with usage 1.06052 . Total units tried = 43\n",
      "all done trying to reduce usage of unit 1635 final usage = 1.02969 3014 sec elapsed 15 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.0007 0.04003\n",
      "starting to reduce usage for unit 137 with usage 1.05991 . Total units tried = 44\n",
      "all done trying to reduce usage of unit 137 final usage = 1.02842 3023 sec elapsed 12 1 successful, failed patches, couldn't start= 3\n",
      "current avg and SD of usage are 1.00071 0.03981\n"
     ]
    }
   ],
   "source": [
    "#SECOND PATCHING BLOCK -- OVERUSERS.  applies a suppression of LONG STRINGS.  run second for most states except MA\n",
    "maxSD = 0.04 #0.06  #0.08  #0.04\n",
    "stopMaxUse = 1.+  2.* maxSD  #0.5*maxSD  #don't be too aggressive; may create long chains\n",
    "print(\"default use threshold for moving on to next overused unit is\",r5(stopMaxUse) )\n",
    "stopMaxUse = float(input(\"enter updated stopMaxUse value\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage above\",stopMaxUse)\n",
    "nBigUsers = 5\n",
    "maxExchangePop = 0.05*aDP\n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP \n",
    "print(\"this block reduces overuse, with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        maxNtries +=1\n",
    "#maxNtries = int(currSD * nUnits / nDistricts)   #try up to about 10% of the districts a unit is drawn into\n",
    "#maxNtries = 10 #overrirde\n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "attemptedBigUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to reduce up to\",maxNtries,\"units' overusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedBigUs) < maxNtries: \n",
    "    #each round, find the (5) most overused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nBigFound, bigUsers = 0,0,list()\n",
    "    while nBigFound < nBigUsers:\n",
    "        consideredBigU = idx[-idxNo-1]\n",
    "        if consideredBigU not in attemptedBigUs:\n",
    "            bigUsers.append(consideredBigU)\n",
    "            nBigFound +=1\n",
    "        idxNo +=1\n",
    "    OUUclusters = [ [b] + unitNbrs[b] for b in bigUsers ]\n",
    "    bigOverUse = [np.sum([(unitUse[j] - 1.) for j in OUUclusters[i] ]) for i in range(nBigUsers) ]\n",
    "    bigI = bigOverUse.index(np.max(bigOverUse))\n",
    "    OUU = bigUsers[ bigI ]  #pick the unit that centers cluster with most overuse\n",
    "    attemptedBigUs.append(OUU)  #so we don't try this unit again in a future loop\n",
    "    OUUc = OUUclusters[bigI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    print(\"starting to reduce usage for unit\",OUU,\"with usage\",r5(unitUse[OUU]),\". Total units tried =\",len(attemptedBigUs) )\n",
    "    for u in OUUc.copy():\n",
    "        if unitUse[u] < 1.:\n",
    "            OUUc.remove(u)  #...drop any underused neighbors of the primary OUU from the target sheddable cluster\n",
    "    OUU2nbrSet = set( unitNbrs[OUU])\n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.union(set(unitNbrs[u])) \n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.difference({u})\n",
    "    ouuHDs, ouuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if OUU in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(OUU2nbrSet) ) > 0: #the OUU or one of its overused 1-neighbors adjoins the complement\n",
    "                ouuHDs.append(t)  #so we can shed the OOUc to the complement\n",
    "                ouuDists.append( unitCP[OUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo, idx0 = 0, 0, 0, 0, np.argsort(ouuDists)\n",
    "    while unitUse[OUU] > stopMaxUse and idxNo > -0.5*len(ouuHDs): #arbitrarily only examine 50% of HDs, biasing farthest ones\n",
    "        idxNo -=1\n",
    "        if idxNo % int(0.1*len(ouuHDs)) == 0:\n",
    "            print(\"try to drop unit\",OUU,\"from\",abs(idxNo),\"th HD.  usage down to\",unitUse[OUU] )\n",
    "        t = ouuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).difference(set(OUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        if not (contig and complementContig):  #dropping the cluster creates a problem (likely an HD discontig).  Try something simpler ...\n",
    "            if len(set(unitNbrs[OUU]).intersection(HDadjoinSet) )  > 0:  #Yay! The OUU itself on border.  Try dropping just it, not the full cluster\n",
    "                HDouuSet = {OUU}\n",
    "                trySet = set(HDunitList[t]).difference( {OUU} )\n",
    "                contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        else:\n",
    "            HDouuSet = set(HDunitList[t]).intersection(set(OUUc))\n",
    "        if contig and complementContig:  #we can at least drop the cluster, let's go for more\n",
    "            #HDouuSet = set(HDunitList[t]).intersection(set(OUUc))  #the subset of the OUU cluster that's in this HD.  Defined above\n",
    "            HDouuCpop = np.sum([unitPop[u] for u in HDouuSet])\n",
    "            giveUpOnShedding = False            \n",
    "            shedCandidates, shedScores = list(), list()\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if HDouuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward far, overused\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            while HDouuCpop < maxExchangePop and not giveUpOnShedding:\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                    if contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDouuCpop += unitPop[shedU]\n",
    "                        #print(\"shedding unit\",shedU,\"from HD\",t,\"total shed Pop now\", HDouuCpop)\n",
    "                        HDouuSet.add(shedU)\n",
    "                        trySet.remove(shedU)\n",
    "                        del shedScores[shedCandidates.index(shedU)]\n",
    "                        del shedCandidates[shedCandidates.index(shedU)]\n",
    "                        newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                        for u in newSheddables:\n",
    "                            if HDouuCpop + unitPop[u] <= maxExchangePop and u not in shedCandidates:\n",
    "                                shedCandidates.append(u)\n",
    "                                shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            shedSet = HDouuSet.copy()  #set(OUUc).intersection(set(HDunitList[t]))\n",
    "            trySet = set(HDunitList[t]).difference(shedSet) \n",
    "            gap = aDP - np.sum([unitPop[u] for u in trySet])\n",
    "            nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "            for u in trySet:\n",
    "                for uu in unitNbrs[u]:\n",
    "                    if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:\n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append(5.*(unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                        #bias toward UNDERUSED, close\n",
    "            addedSet = set( )    \n",
    "            stillGoing = True \n",
    "            while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "                nearHDscore2 = nearHDscore.copy()\n",
    "                for ij, uu in enumerate(nearHDlist):\n",
    "                    nHDnbrs = len( set(unitNbrs[uu]).intersection(trySet) )\n",
    "                    if nHDnbrs == 1 :  #BIAS AGAINST CREATING A SLIM CHAIN\n",
    "                        nearHDscore2[ij] *= 0.5   #make this score closer to zero (less negative)  #NEW FOR GA 3/11/24\n",
    "                idx, ij, notYetPicked = np.argsort(nearHDscore2), 0, True   #originally, used nearHDscore itself here\n",
    "                while ij < len(nearHDscore) and notYetPicked:        \n",
    "                    listNo = idx[ij]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                    unitNoToAdd = nearHDlist[listNo]  #add this unit ...                            \n",
    "                    canAdd  = wontEnclave(unitNoToAdd, list(trySet), unitNbrs, borderUnits)\n",
    "                    if canAdd:\n",
    "                        notYetPicked = False\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    stillGoing = False  #can't add any more units; we can't without creating an enclave\n",
    "                else:\n",
    "                    gap -= unitPop[unitNoToAdd]\n",
    "                    addedSet.add(unitNoToAdd)\n",
    "                    trySet.add( unitNoToAdd)\n",
    "                    for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                        if uu not in trySet and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:  \n",
    "                            nearHDlist.append(uu)\n",
    "                            nearHDscore.append(5.* (unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] ) \n",
    "                            #bias toward UNDERUSED, ~close\n",
    "                    del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                    del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                    for ijj, uu in enumerate(nearHDlist.copy()):\n",
    "                        if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                            del nearHDscore[nearHDlist.index(uu)]\n",
    "                            del nearHDlist[ nearHDlist.index(uu)]\n",
    "            currPop = np.sum([unitPop[u] for u in trySet])\n",
    "            if abs(currPop - aDP) <= 2.* maxGap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addedSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t]    = currPop\n",
    "                nPatchSuccess +=1\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "        else:\n",
    "            nCouldntStart +=1\n",
    "            #print(\"Due to discontiguity, can't drop OUU cluster for HD, OUU\", t, OUU)\n",
    "    print(\"all done trying to reduce usage of unit\",OUU,\"final usage =\",r5(unitUse[OUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )\n",
    "            \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92f90621-e7fc-4891-a5cd-69033c3c48e6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "cb60da52-ca13-45dd-8bf0-475213183a0d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "overused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "underused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"overused units\")\n",
    "maxPlot = 1.06\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > maxPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"underused units\")\n",
    "minPlot = 0.94\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "0d4f1372-6044-4803-91d9-de4b95a40083",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.0012 1.00071 and their SDs are 0.08895 0.03981\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 0 out of 9178\n",
      "working on HD 300 out of 9178\n",
      "working on HD 600 out of 9178\n",
      "working on HD 900 out of 9178\n",
      "working on HD 1200 out of 9178\n",
      "working on HD 1500 out of 9178\n",
      "working on HD 1800 out of 9178\n",
      "working on HD 2100 out of 9178\n",
      "working on HD 2400 out of 9178\n",
      "working on HD 2700 out of 9178\n",
      "working on HD 3000 out of 9178\n",
      "working on HD 3300 out of 9178\n",
      "working on HD 3600 out of 9178\n",
      "working on HD 3900 out of 9178\n",
      "working on HD 4200 out of 9178\n",
      "working on HD 4500 out of 9178\n",
      "working on HD 4800 out of 9178\n",
      "working on HD 5100 out of 9178\n",
      "working on HD 5400 out of 9178\n",
      "working on HD 5700 out of 9178\n",
      "working on HD 6000 out of 9178\n",
      "working on HD 6300 out of 9178\n",
      "working on HD 6600 out of 9178\n",
      "working on HD 6900 out of 9178\n",
      "working on HD 7200 out of 9178\n",
      "working on HD 7500 out of 9178\n",
      "working on HD 7800 out of 9178\n",
      "working on HD 8100 out of 9178\n",
      "working on HD 8400 out of 9178\n",
      "working on HD 8700 out of 9178\n",
      "working on HD 9000 out of 9178\n",
      "all done checking HD and complement contiguity for all 9178 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%600 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "ac9cd133-94f0-494b-ac74-0c584482d97e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"fullyPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "2c1590f1-0ad3-4df2-97f9-9666d902156f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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v5kD54yQkTDkpz18QBEEQjilgiYmJYfjw4RHHHA4HSUlJ3cdvueUW7r77bhITE4mNjeX2229n8uTJTJo0qfuawsJCHnzwQS677DKSkpJISkqKuKfJZCI9PZ2CgoLjfV6nFW/X0uTtq+sovHQggwcPpra2luHDhzO84FL6b7sXJLDjZ7hd7g5WPO0BXE0+0vP1UZGAJ0RihgNJkpg4N6/7/ga1AFiMyVlJadlfoh7f76/D6z3AgAF3/O+frCAIgiD04mvfS+jRRx9FlmXmzZtHIBBgzpw5PPXUUxFtiouLcblcX/dDn7Y6mn0AtHaECAcUpk6dSn5+PllZWRBUuXz9Oeye9BlD2Eli/Jju68p3NCPJEjlDk1AUFVXRiE2J3sgwIWEibXVPUFH1CEhgsWSQmDCFuvq3AVi9ZiomUwJJidNOzBMWBEEQhC/5ygHLsmXLIn62Wq08+eSTPPnkk31ec6R9bcrLy79qt04b4aBCdUk7cUlWXC1+nrljOQbgR/+cqTewysQGBvBzaTmt2hqcjlnd15ZvbyYjPw6rw0RTpV6fJT7NHvUY/QsmcWDfFWjOt+isHcHZ1yzAYJAZOOhXrFx5BqCQnnYpJlPcCXjGgiAIghBN7CV0ijuwrZlwQOGCH4+kq5QKCvDkj77g+flLUYMKWlBhoP33zJyxj+zsGwEIBRWq9raROyIZgPoD+ohWWv+YqMeQZZkp59xPR8XZNGy5mo42vcic2RTL5EmfYTDE0Nj0GaFQ2//66QqCIAhCr0TAcoor2dhASk4MiVlOLr4rB0NoJ5qmYZDAr2i4yhpZkLAELcWEJPX8Oss2N6KEVAaM0gOWlhq9qm1qbu+rfCy2WAYPu5mQJ5WAr2e6zm4fwMQJH6IoHZRXPPM/fKaCIAiC0DcRsJzCPn12B+Xbmxk+Xa+/8vFTf8PTuYhJsxTOuXIQAK+tepvn0t5haWB1xLVLXtwD6FNAmqZRsqEBJHDEW+hLe4te3yU2ISviuM3Wj7S0udTVvYOqhnq7VBAEQRD+p0TAcgo7mHeSNzoFX4ebtlo9oKiuWE9cphMArWgYmirx9O5/sqt5FwC1+9q777FzeQ2Vu1oI+RVsTtNhi/N1tvowmPzYnI6ocxnp8wiFWnG5t35Nz04QBEEQjp4IWE5h5/1wBAD7tzYR8Hq7j5dtWk98bk8uito+jprOGu5cdictNZ188MQ24tNsIMGqt/axY7m+f9C8e8ahqSo1xXtQwtE7PHtdMmZnR9RxgNjYERiNsWzefDVV1S9/nU9TEARBEI5IBCynsPhUfUXP0pf3oijm7uOj51yI0WLE189Kk6wie6dxcf7F+MN+tn5eiT3GxJX3T2DC3AEoYZWKHS0YLTJxqXY2f/IBr//2Hta+/WrEYwUCHTQdsBKb2vuUjyQZGDLkISTJSFXlv4/peYSDChs+PEDDgdN7g0pBEAThf0cELKcwk8XApEv1Am8Bj0TGIL2QXsGZ02hq9SHV+ak3qsTaZM5IOwNXwEV5eT05w5IwWQyMv2BAd86K1W4CYP+WjQDsWbU84rG2rVhOsCOZSXN7r0gMkJoyh/45P0BDOern0FzdwYK/bWbjhwfYvab26J+8IAiCIBziay8cJ3y9BoxKYf+WJj58cjvf+cUv8bob6Vc4jH/M/wKrAi0mjbQ4mcmZk9HQKLNup8DUs3P1hLkDWPryXvwefeTE52oHwN3UEPE4/s4AkmwiM+/wuzErqg+DIbqWy6E0TaO11kPJhga2LK4kPtWGJB/9xpaCIAiC8GUiYDnFJWY4uODHI3nx3tU0VSkUTBxGIBjG1DXIsTeulRSvSrojnSGJQyjv2APqhd3XD52SSc3eVvoN0bc/MFmjK90COOOdaKoJj7uZmPhUgqrK89XNzEqKZbCjZ2duozGOQKCp13u4mnyUbKineH09rkYfBpPMGef3Z9wFuSz8x1bCwaMfmREEQRCEQ4mA5RvAEWfBYjfy+Qu7efflXVhSZMyoTLo2hXd3HKC6SZ/2SbGlsMewH3u8OeL6c27p2f8pY3AhtSV7GDptZkQbWd+uCF9ngJh4eKO+lQfKavmoqZ0Pxw3ubme39Sccbicc7sRodOL3hCgtaqRkfT11ZS6MFgP5Y1KYetVgsgbFYzTrNzaaDYQD6v/g1REEQRC+DUTA8g3g3dZEQyhIPDIxYQnqNM6MeYkxDSZmF17JPyvDrKkoY2ziGaywryAmpe9aKxMvuxKr3cHwGedEHHfExQB+PK526JfNJpe+KmmT24tfUbEa9HQniyUVTYOK3ZWUbdQo29KIpmhkD0lk9k1DyRudgqlrs8ZDmSwyQb8YYREEQRCOjwhYTnGdnZ0c+HwHNjs8ofl4cPpgrCteY5T1A9ipcvGP/8A/F21lRVkpcrWep2KNM1DdXAdAv+SMiPvZnDFMmnd11ON0tLUADpLS9fyXTqUnuHCFFawGGU3TePehdnyu5yimnrhUGxMvzqNgYjqOuL6DJACT2YDXFfwqL4UgCILwLSYCllPcy//6Dw0dTUzudza+mgAdvhCX5i6CBn165bGlGwAz47LTaQ0o0Ai7W3bx0OcP0mZq5N3z32dAes4RH6e9yY1kMBOToG9wmGzq+dNIMevfS5KEz6VPN025YiCjZmYfthDdoYwWAyGRwyIIgiAcJ7Gs+RTWsrmahnY9wbW9uYIUTWJjnQucKQCEU4awaJtEVkYVsweO5JJZM8kI9ufnu2+n2VKLIofZ11R2VI/V0RzAGtPRvZpnVpK+59CFKXHIXUGJcsioS9HH5XD4TbcjxCRaaW/wiqBFEARBOC4iYDlF+fa2Uvv2zu6f90gHSFAkKlp9UKivAlpiHIKmyjx86VQkScJqtvLKlf8hJZjFQF82v6i5kSHpg/t6iAieNgO2+ED3z+cmx/HR2EE8VtgzOuNu0+uopA8CvyfMslf2HvXzyRudQjioUrmr5aivEQRBEISDRMByigrsb8ca27MEOUvOwBBjRlM0OOMWPpv1FPMrzyMro46z+g/rbpcSl8RH173HH+t/ygz3BLxPVdK+vfdlyIfyd1iwx0UOmYyLc+A09iTQutsaARh1TgIxiVZ2r66jubrzqJ5PfJqdpH5Oyooaj6q9IAiCIBxKBCynqM4VNVjbJWySXgNl2pUzSLGYaFbC/HX5Yn74sQO7Pch/r5sXda1BlnAE9CRYhy9M56t7adhQT8OWRlRVz30JhQKoSs9+QkGvHUec6bB98rpcAMTEJzP3p6NAgg+f2IamHd3c0MCxqZTvaBH1WARBEIRjJgKWU5iExEzfCMaaRzC4YBD942zUKmGe+sxDZmobq392BVneAKGGyFGLsrK9mDQjrqvs2K4bAkBowT5CbxRT9XklAO8+/jrP3vUpfm8nbS2VBEMmnAnRuzQfyt2iByyOuEQS0h2MmJ6Fpz3A2nePLk8mf2wKoYBC5e7WY30pBEEQhG85EbCcopJuGApABrHkF/RnwYO/Iy/OB4CmmXnnlkux+XwcuOQSyr/zHdRgz5Lhhl3lhKQw+QVDSBqWjCump5CcGlTpdLXStC8bJWjnxV8u5YWnX6M1ZQM1Hctpdvc+ZRPwedjxRRhnWh3OOD2wmXrVYGyxZrYsrsTV5Dvic0pId5CU5aBUTAsJgiAIx0gELKco25AkvLNyWNkRpqx8CeXbNkPlZ5iTlnLd+AYyYhPwbtqE6vEQbmrCv307AJqqEb/TwL7UGoxmM+vWrSPjtkEYL8kHwGg3sm3lapAUtEQXg4xW3GEfSBrhchufLJvfa3+Wv/MuwY5YZl0/uvuYJElcOH8EaPDB41uP6nnlj02lfEcz4ZCYFhIEQRCOnghYTmFJQ5NoVTSaKioAqN21GUvqZwyw6yMcSkvP1Er7W28BUL25hGR/HOYzU9iyZQuffvopCxcuxJyoJ/CGFlXgWhRDMLmJv03vT7Il1H2PPV6ZlFDPzwe5WuopW59A9ug2+uUPiziX1j+OgonpuJp8bPr4QK/Po2TdKl751d2019eRPzaVkF+hSkwLCYIgCMdABCynsMRMB/FpdnydfgAqU/Vy+ZOGjgNAdvTsmmyfNBmA8u17qDM3M3HcNCor9XyV8vJyYvNjCE3rhxkYaTfQlgN+s8ytE5yAhsnsJc0SZmzd6og+hAI+Fj7xOZKsMP07s3rt58wbCrHYjWz48AAdbf6o82vffo360hK2Lv6YxAwHCRkOSjeLaSFBEATh6ImA5RQmSRJDz8okFHQQllWKCt2MUCcwtP9AAGwjRnS3dZ49HQCf5keWZWxGG4FAT10VRVHInqyX6ffGl7Cxv76KqCbWSXOBgWcnXU7r4HYMjp6NEgHe+MdC3HWZzLwxldjElF77Kcsy5982Ak2FDx7bGnW+tbYGgKIP3wVg4NgUyrc1o4TEZoiCIAjC0REByykuJduJwTycmrQAAXOYn515V/c5c24umQ8/RNb/PY4xIQEA2W4kPuAEwOHoWfVjNptpfV0v9NaRvg4zbgBUWWZb6mACkpW1CcPZkQiNtTtZ+dnvWbv+Ix5O/xNbM5cweMykw/Yza1ACA89Ipa3eS9Fn5RHnNC0yMMkfl0rQr1C1R0wLCYIgCEdHBCynsEBY4fEFu5Etg0iecBEG1ciYQUMj2sRdcgmx5/TsvKy0B7FoZrb9YRkdFfoeQMOGDaNmTwWeijY68GFwD2CocQMAFwc+plnSR042SZMIGNvYsfcSqvkvP9j7SwDW9V9ITUPDEft7zk1DsdiNrH9/f8TUUHxaOgCj51wEoE8LpdvZvKhClOoXBEEQjooIWE5hi3c3UN7owY+GT+rErsQgy33/yso+3cywCn235SSvgem1MVx+6dVcfPHFVL63HQmJ9cZ9GLR4ZvA5PzDsYI70ETI9IyBnnLEQreM8Fu4bDcBl/aZgUiw89Ok/jthf2dD71NDYCy7FEZ/AiJnnAvpU1/RrCmiq6uSDx7cS8IX7uKMgCIIg6ETAcgp7u6gan6Rh0yS8qh+j1nslWlVVCYfDaMmR5yUk4l5vQPZrpLtj2GuoodzYxPDW+1CCJqaHf09cSCEr3AzADGpJSsth4uy/sMtZwsX2q/nDrH9ySeKVrFA/Yce+kiP2OWtQAoPGd00NfVoOwOhzL+BHz7xMam5eT7uCBC65YzSttR7ef3QLvs5gH3cUBEEQBBGwnLIa3H5WlDQxuJ++a7JFsxGQeqZZajpquHvp3Xx34TXU3r+a+l+vpfGjvQQk/Y3fblgEgAGZ4ic2YUBmu1FfNSRJYPbpJf8Lhz7NlVI9Q7Sd3F2gJ9y2u9xoksaIDH0J88/O/zF2NYaHl/3tqPo++8bep4a+LD0vjkvuGkNnm593/74FT3ugz7aCIAjCt5sIWE5BB5o9TH5wCWajzJTBen5JrbcGpxbX3ebfu/7N4srF7G3p2THZFDKhaBoPZ/2VIP8hXPwvAOI7NDolP14pQJbWrh/bPIiSz/5Av7wx3DzzDj484zzGZ+o7MwcUPXAwG/QRG6fFyfX9b2abeS2fr157xP7LBpkLfjwSTYMFfylCVfpeDZSSHcNlPxtLyB9mwd+KcDdHV8z1uoNU7Gxh08cHWPC3It75S5FYYSQIgvAtIwKWU9D3X9qEqsEfZ6eSt/81AErZwUj7mO425+ToibbfH/MDSnLqKLPW8JllO+9bNnJPzc9whx7Et2cDql/f/0dKtGLRjIyRagFY7r6UsCsdTdOQDTKO2OTue28u16vmDkjJ7T42dZBe5+WtZR8dNgA5KHNgPCNn9qOzLcAnz+w8bNuEdAeX/XwsSBIL/raZ2n1tbPr4AB8/vZ3/3LeaF36xig+f2MbWz6uoL3NRv99Fa73niH0QBEEQTh8iYDkFvf4DfQlx5q7nGNj8IjGWSjwWFyXhMtr8bQCMTB0JQFVHFaaBsUhBI2FFxSMFaJY6sMs5YLIjW/VRmVi3gesC00lz5PFCeA6P22LZblaQJCn68UteJz2Yw6i8Id3HFu1ciqwaGFIzhdVvlx7V85h65WBS+8dQvr2ZLYsrDts2NsnG5T8fi8Vu5P1/bGX9wgOEAgqDxqcx5/vD+d4fJ3PL36fyg8emYzDJ1BS3HVUfBEEQhNODCFhOQclOC5eMziSmfQ9OQwuXJN0JQCW7mPbGND6v+By70Y6MTJ2njrFTpuCWvN3XlxjqAJCMVhS3PqJCSAPg/1rO5oHwDQDssKs0tXopK9rAv+/8IXX7itlSupN9xh1ckX1NxIqkfS37SAqnE+twsmN5DQFfdAn/3lzWFYSseaeMurL2w7Z1xFmY+9NRqIpG/tgULrlzDGdePpCB41KJS7EhSRJGs4Hkfk72rKnj5V+vobm646j6IQiCIHyziYDlFJUeZ0UL6QmrdlWLOHfXsrt4cuuTGGQDnpAHhyMGj60nuTVDjefxAa+h+VpRPY2ECLNLriKMQjYmpg9O4bqB6TRrCj9+aj2bPlxAW10Nmz9ZyKKdSzGoRq47+zsRj7k/UEp/cx4zrhuCpmp8/sKeo3oeRpOBeb8YhyTDwse24vccPtCx2vW8GdnQ95+mbJBorfXgbvbzxp82ooRFPosgCMLp7isFLA899BCSJHHnnXd2H/P7/cyfP5+kpCScTifz5s2j4QhFx37/+99TWFiIw+EgISGB2bNns379+q/StW+8AUkOqsLxAARj8+jY8xB3jf41AE6Tk39u+ychNURHUB9hsNnN3df2U5OwpA3gH1fdhCljNCaMbDEd4CNzBcOApzI/5o9XZnB+ZiL7Ov201+mjMHtXL6fOW0dcOAmb1dp9P0VRaZbryY8byICRySSk2ynf3oy7KTpBtjcJ6Q5m3ziUcFDl7Yc2oWlan23VruBMNkRPVbU3ePnn7cuoK3VFHP/X3StQVQ1fh1gaLQiCcLo67oBl48aNPPPMM4wcOTLi+F133cUHH3zAW2+9xfLly6mtreXyyy8/7L0GDx7ME088wY4dO1i1ahW5ubmce+65NDU1HW/3vvE2V7axwqLvD7Qz4RxirUbOz58GwB1j7+CeM+4BoLqzGiXgJ0XTGKvkck5wJEZDmGBMBSmpo3jfvJEGSX+Dd0lVpBnqcKx7FJb8kWZvEOeXCtG1h9pwEhtxTJYkbIqDMreeu3Lurfpy58/+1XcybU3xHtob6rt/HjwhnWFTM3E1+Vj0r119XlfdlZuSmNGzrYCnvY2gz8vedXW9rg4KB1X++ZNl/PueVaxZcHT5NYIgCMI3y3EFLJ2dnVx77bU899xzJHTtYQPgcrl4/vnneeSRR5g5cybjxo3jhRdeYM2aNaxbt67P+333u99l9uzZ5OXlMWzYMB555BHcbjfbt28/nu5943UGwry5qRr7yEvgZyW8aLySoZmxZDgzWHnVSq4suJLrh13P3Ly5ALz7q2tJWbqFsaF8+qsptMSGOW/bIAbWl9Iku9luLCdAiKAUJtZYrT/ItlfZ1+GjIN5OfHomAIVTptOiNJEoRW5yKMkSZ8edwxZF/x0m94sha3A8jRUd1O6LTn5tqa7i9d/ew1t/vB9N7Qkwzr62kKR+DkqLGtmxvLrX575vgz4aVzhZL+ff2drC8z/9Pq///pcUr6+PaGtxGDnzsgBquAata2TmwLbmY3qtBUEQhG+G4wpY5s+fz4UXXsjs2bMjjhcVFREKhSKOFxYWkpOTw9q1R67fARAMBnn22WeJi4tj1KhRx9O9bzxvUC9V/+nOeoK2FHbVdTAsU1/tE2+NR5b0X9v/m/r/+NOUP2HdtAfCPUXXNpvKGNQ4lvauRNwKQzMakKzGYDUd6G7XrCqMzopn3EWXEZeWzug5F+FTPcSYYqL6lGhNRJV6Suife8swJAk+f2F3VNvKnVsBcDc10lRZHnFu3j3jMFsNrHi9hMaK6ITZ+v0ujGYZe6y+m/SBbUWEAn6ayvfjbtKDGWeifi67QOOLfz+JGvyQi+8cRUKGndTc6L4LgiAI33zHHLC8/vrrbN68mQcffDDqXH19PWazmfj4+IjjaWlp1NfXR7U/1IcffojT6cRqtfLoo4+yePFikpOT+2wfCARwu90RX6eL1Bgr78+fQnNngJte3EBlq5dhmbG9tr1k4CX01xIJ120hsPs99ifWEfKEWGTahkZkrsggJQODQz/WYtHL5M+amMXAMyZy6+P/IqtgCEbVjF+Ozk1x+d1YVDsAjeX72fLZ2ww8I5mO1gB719VFtPV3dnZ/X7F9S8Q5k8XIZfeMQwLee2QzwUP2EfJ7Q3S2BcjI7ymQ521v7/4+vb8esFxw2wiu+s144lMbAVACXkq+WEWpuoiwXYywCIIgnI6OKWCpqqrijjvu4JVXXsF6SFLm12HGjBls3bqVNWvWcN5553HllVfS2NjYZ/sHH3yQuLi47q/s7OyvtT8n26jseP546XD2N3mYMjCJWYVpfba1xSWiBToIlnyM1t9KbMBOldyCtWvvoSwlkcuDE0lXs4gbr49a/bdzLKNsNoYOTOy+z6rd66mx7CfJFB0oNgYbiFX06b/Fzz3BundeIymjAtkosfKNkohEWovd3v19VuHQqHslZzk5+3uFhAIKb/9lU/fxih0tAOSPTe0+ZjT3JBMnZumVeN/88ybe+ONGdq5UAZkkSyYVdVWokkrFri14xWaKgiAIp51jCliKiopobGxk7NixGI1GjEYjy5cv5/HHH8doNJKWlkYwGKT9kE/FAA0NDaSnpx/23g6Hg4EDBzJp0iSef/55jEYjzz//fJ/t77vvPlwuV/dXVVXVsTyVb4RrJuTwwZ2j+OF5QeLsvW98qGkae7L0YMFyzTyMhQbsmNEkjRhsWDQjQ5V+JGpOSjQFw5m38Vru8zwWvpR//nhixL3qm/WA4Zazro96nNpANWmGTFRVoWG/nti6+eN3GTenP0GfwoYPeqaasgr1pFyrM4b0/MG99nvolEwKJqXTVudl8Qt6Em7FTn10ZMCYnhyatAEDAZBkmfEXT+s+npITg9+TgsEyitZAPR1d+yzVy+2c88AHuH1ixZAgCMLpxHgsjWfNmsWOHTsijt10000UFhZy7733kp2djclkYsmSJcybNw+A4uJiKisrmTx58jF1TFVVAoG+N8OzWCxYLJZjuuc30d3L7mZL4xY2XrsRqzF6VOu3a37L5yMP8Mfcc5jxo3toal/GX3Of5byGqxgYSOdsbVh328mY+PTJIpqq4nlUMhCrRE4ZhZRg138ja6WoqkqtVMGcmItRQqHuRFp3UyPjLxrA9qXVbP6sgrHn98dkMpCWN5CL776f2JRUZIOhz+c2+8ahNFV2ULK+AVXRqN/v1vNXnD2jKllDhnHW1deTkJFJbFIMl9w5msQsJ/YYM8/dtQQ1XIgzpZVDs2GWmu/g1ZcPMGT2DUzMS0IJqWiahtHcd18EQRCEU9sxjbDExMQwfPjwiC+Hw0FSUhLDhw8nLi6OW265hbvvvpulS5dSVFTETTfdxOTJk5k0aVL3fQoLC3n33XcB8Hg83H///axbt46KigqKioq4+eabqamp4Yorrvh6n+030K5mffTh9b2vR51r9beysGwhl4z7HrPvfRxDXBwt3io6TB7+OX44RnNSd9tt+foy4eE1fi6RzYyTjFS8uS/ifu+UvUNyKJNh2ZGjInVtjfiNHoYkF2I0WzBZbQCMnHUekiQx9arBqIrG0pd7NmIcNPFM0vIGHvH5XXX/eJL7OSnd1Ehnq5/4NHvEeUmSmHjZlQyedBYA/QoTscfoAc2oWXnIxgyGnf0TEjT9+fVTEmjAzO/3F3DVs/qqpjcf3Mh/f9uzSq2u7h18vtNvRE4QBOF09rVXun300Ue56KKLmDdvHtOmTSM9PZ0FCxZEtCkuLsbl0muDGAwG9u7dy7x58xg8eDBz586lpaWFlStXMmzYsN4e4rTS6m+lwt37PjsBJUBQ1Uc9/l7096jz+9r2oWoqVxdc3X2suHUvmmRBNSYR7qq9JtuNzLhmOHtGxBO+dRgZf5yCK9mGtaaT4CHF1trVVgqsQyNK8gO4PHpCs9nnYNeKGgaeoU8lDZp4JgAFE9NxJFjYt6GBjpajKyZ3kGyUufJX4zFZ9MccPTvnqK894/z+GEwyWz9vJNeQRyIJGLR1FGv9GCjpy6Z9niCttR487QH2Fv+WJV/ks3vPL9i5665j6qcgCIJwch3TlFBvli1bFvGz1WrlySef5Mknn+zzmkMTNK1Wa1RA822xpXELd7x5HbcvVFl18Qyu/Yn+mvk9IQxGmd2uniXDY1PHRl1/wKXnjbT6W8mNywWguLWEdAZxy54gWX4NkAinwbatG1CSOsnJG4YsyyTNzCb8Zgm1f1pD5/mp5E3Io8lUyzmO86Mep76uldE1M2lca6KREi6+8wYmXHoFydn9u9vIXcHR4hd2c/nPxx3T6yBJEha7gVBApb5mFTVvhAkrYZSQihJWUMMSmiqjKhKSpCIZVAwmGaPJhCMhAXejhVqLTH7KUH5Smsejpqf43PILrgv+kn990L87Kvd09OTZuN1bUBQfBoPtmPoqCIIgnBxfOWARjt/O5p3M3qIyvFKj9pUv4Cd6MPf8z1aSNTielnO2YDfamZs/l8/KP9P3DTL1VIAdkzqG/Lh8bvj0Bs5NmMklMRcwfvd0ftk+hU5jmAODW8jMiefjfz9Ba52+8/KgQYPIz88nfWwatZ0hni16mA8qlpFRnItqDXPm0DOi+tnu7mBS5SVoaEhIrH5rP1f/pidht2RDPR2tAYxmmbpSF02VHaTkHFs9lM42PW9m1+exSHIYyaAgG1RkWUUyKPqXrIImoyoGVEVCU2RUJQRYaKlSebsBNKvEbHkzAOfJG3lt93iukGXG2Y3IoRG0s4ZRI//Ftu230ta+nuSks4/xtyYIgiCcDCJgOYmuKriK/7bo9Wwy26ClrZaOaj0/o6akne0FmxiZMpJbR9zKu/ve5aVdL3Hb6Nu6ry9ILGDBJQtYUrmE0BvV5LXaSTaMoXbQYnIv+wnDE87i7bsfY2r/63mfjQBs2LCB/Px8/TGn9WPVvs3EqbHUWcuJDSdy5qDxUf08sKcBzRLDHX+7kA8f307tvnba6j0kpDtQVZXlr5cgGySuvH88r/5+PQueXs8PH5wddZ/DSR9Sh7tZ46Y/fu+YX0dNUwiF3Hzx+DPYmgfh7FoxdK1xCZ90/pDxDjOxBglfeRyNaanUGQoxGJx0duwhIX4CwWArNlu/Y35cQRAE4cQRuzWfRGaDmdeuvJOb/vwQfpOZT9cvZ9FT+nYEWmyQNc2riDXEk+5I5zuDv8Ore1/FH/ZH3EOWZFJWZpDemodU4GDQ72Zz5s1/JjMhAwBjOBGFnvL41dU9JfE1TcNt6OQHGTfw70n/5aXzXsIgR6+k8bWGIcmPyWTk7GsLAFj2ajEAGz4sJ+gNM/a8/iSk66M/4TaZrXuPbjfnHmp3Bd9jJUkGzOYELk3bSxATatefdT3JZBokOk3t7JProDWZB/h/XLitHo8pj4rK51i3/gLWrJ3O9u0/wuerPK7HFwRBEP73RMByEm2s+IgdGRMoT+zP0ouGkRmM4/xYI/2sGwjLiwGoKdNro1w75FpcARfPbH+Gv278K8GuJciqqvKznVVcTic7E+yYugqtLXtrN8t+s5JOexYOrWf5d/+O/rg7upaLd6USSZLE+IJR5Gf15KQcSu60YI7Tk1QS0h0kZjmoLWmno9XPls8qsNiNjL8wl4Bfn9bxG7x89vqWXu/VG03T6GgyYE/4agXfhqel0t/ZwA41F4CnQhdiluAz81aWm3ez0dZCu5RAUJPYGM4nHHbhdAwiP+/ndHTuZu26ObS1fbt3CRcEQThViYDlJFpb9mz392/NmMfAtU4kScLqA7WyjUzXIJrDjWiaRrazH5e25vJy0XO8tPslilv1EY5QVSfZXb/G29aV8fizm9jwaSk5Rc0MDMHZmHBixaBqGA1mRgUTKfpIL/wmdWXKHpoE/WWqqmLzxeJI7KmNMu0qfdnzaw+sR1U0pl9bgCzLLF6zWu/TmFqc9el8vvro9o/auGQBnuZ08kZ+tWmZ+PhC7pn4d8py7uGZ8OW8ocxgCKGuESaVmn7Lutu+q14ESIwc+Sy5ubcxccLHaFqQ9vYNX6kPgiAIwv+GCFhOIumQvX6SQwasI5Jp07zEmBKRDemMqp1Bg6OCNSUbaX/zTa55Zh83LNGnd+5adhc3f3Yzv1p+PzY5QK5s4Ia8VB7Z38B/lu1nn0OmclxS1+NI/PiH3+eeX/yMWrsVraRnh2WLZsYX1DdJ1BSF1pf/i39vTz2VmsYGzIqNhBRn97GswQk4EyyEAgpxqTYGjdO3Ddj5eT2d8U3cfcONuBPqKXq/CkVRDvsauFoaKXrPRuqgRsbOnPGVXs/OllKsmolLbvgOV/3sKW7xxDBIPvj4Eia1pxDh9NBmQMPXXguA0ejEZs1BUY5tWbYgCIJwYoiA5SQ6d/h93d9f5NuIOiORgBzGYrBjsAylvzuLmGAiL298Dc9qffRi1naJ/3fW/+OCARdgls18pi0naGrFpan87gfjmZ0Sw0eE8JzXn/wJWd33T8rMwmI2o+THk+dV2bpSr/0Sqzlp87UD0LF4MQ1//jM1P/9593WrV29HkRTGjS2M6PvUqwdjsRuZc6teK6eyoQZHaxL9xsdgNpmZeFkeTncy73z8+WFfg+KiLahhK7Ovn4IkSX22W9Ts4v8qGvocDVICfpqlT0iWzsVgMhOfYOP6m0fSGTqYV66RH2xG1vSAb7z8HgCdDaXd9zAYbCiq97D9FQRBEE4OEbCcRAWpk7mpUeXs1ib6mQbw9DP/pNbixmJwIBszGTQui7McM9kUXE2oRc9lkVSVuflzufuMu7ku9SoACtMzadc02lx+HvvJmUjASxsqSc3Rd3iuk1X451nwr9mcdflASq0S8kcVlFe5SJISaAo2AeDbouedBEvL2LN1M4888ioV6910xjfSPzVyuiZvVAq3PjKNlK7HWLJyIyAxa9oEAGZOmIQ7q4bKJT68vr5HLcp3VGJLrCMhpe/NK4Oqyg93lfPn/XWsauvstU3VltdRzG6yC2/sPpY6IhmrYseBkTFjP8burObXylP8VPsbk+VrAPC27WdVWwdr2zuRDXYxwiIIgnCKEgHLSfbbUbn8baOV0v36G3G90YXZoNcwmXTJCC4dPpeAwUezGr2v0tqy1TgUG9ecOxYj8NL7e3BYjAxOc7K9uh1/SMF7XSGDrlChYSfUbMLaupvx88dilqDy2bXUqg0YZX0UQvF4uu+95L3NWErScbqTiMns2XgxHAzy4WN/YdvijyP6Ur/dgyelifSUnp2eL7pmApaAg1fe+rTX565pKm018dhSth32NSrzBvCp+sjKy3UtvbZpKP8QW2sB8dkjuo+1lLajaRJTBm/D6Wwj0X81w5QtjGhtYeX+NQBUd9bxna1lzNtSit+QSijU1uv9BUEQhJNLBCwnmWTSfwUerz4VURuuxyzrCa4xSTYmDhtNgj+NrYn6qqCYOXMAeHnBM7zifpvzbbPol5/MBUkxvLynDp87wO2zBqFq8KeP9jB4WArx1PY8YNELxKU4kK8ezD77NtoNHfxw2k8AMCYkAujl4erzCJkDeEdXMvP8Md2X79u4luI1K1j6n+cIh/RVQftrKnE2phE7JHK6ZsTAAgIF9XSut9DQEh1oeN0Bwr54zM5GFKXvFUI+tWdZ9sLG9l7bKEYvxkACAJ2dnSxevJj6siZCmkZKxQUA1HR+TNjQSXH5QHIG6AFLsVHfCkAFtmijCATq++yHIAiCcPKIgOUkk4z6r8Bk7KnhZ5QkZEDTwGCQOcNyJi+OaiTl/vtIu/9+NmxbxV/dTzLbPYl7L/8tAN+dkU+zpvHmh8VcNDKTJIeZNzZW4fIGQT6kPmCMXp9l8Kh0/pVSRKKWT172IACc06YCYOvaqNIUtHDPj25k2MBB3Ze3VOm1SpRQiNpivdbKm8+vRJM0Zs6MLjp39bXnAPD6q9G5LFV72kEzYImrYeOyx1my8Ed89uEkPnr9Vtxtrd3tUs09IzwPDe59JVHIZMRn0xNsly9fzurVq9nTspN9AZXd1fX4283Ykt007z0Pm83dfZ01ryfRd0VwIIFAQ6/3FwRBEE4uEbCcZJJBTzTNSE4HYESGPqVhlkDuWnY8I386bquXfZOHYEpL5YnNTzAgkMXtLd9DQiYcDlNdqW8mefY0vZbKny4bTljVuPq5dZB6SMLsSD3vZcGudXSa9nDewJ4dse3jx5P75hvk/OMRFtn0EZ1WV+RUlHrISEjA08m+qgPE1GbQmLCfwvRBfFm/lHQs4zqQdydSUl4eca54vT6aIcuJeKQnwbkYo70Ja+pS1iz5VXe7LIuJkTE2rLLEzMTokv8H6vcScuwhpj6fFR+WUFNTA8Du/TuwmmVqvZXsezeX4rcH0LzrElrq9OJ3mmrA7Krrvs8lCQGCwRZUNRj1GIIgCMLJJQKWk+TgapeDIywzx09n3OCJ9A/pAcdYR0/FWXusXvjN5w6yv6aULfIurmg5l5Ck8Nhjj/Hvf/+bxfuaGGw00r9fHADnD89g0oBE9tR18PftVhj/fTjzdkjSy/K/tOMtpHACd0/uCVgAbCNHYoiPx5aq57PsPdAccT42ObX7+7VaCS8+rhe4m/+zy/p8rt+76kL85k7ef3VNxPH2ei9mq4Fz5v6HGPl2BqT/m+GDPibBehemxEXs275Mf40kiXdGD2T1xCHk2CxR91+1+SFcoVh8DTPJXVWP398TZNmtRmQ5FiVowGHX91MyBxOoqBjJhy4D7xffjIUQdoPM1AQnoBEINPX5XARBEISTQwQsJ4GrycdTty3lyR99wSf/3cvqzjC0yVSusLBxpz5dYXTApg/fRQmHCYT0N+DUuBT+b8nfcSp2JkpjqA424vV6qa2tZUO7hympsRGP8/g1Y0hxWvi/paX803kbnPun7nNVnhIyrcMwG030pi6oT6+0tkSONgycMBlbbByFU6ZTXt5GZsdABn7XQkZSam+3ASDW4STtbAP2ynTWbtnafdzqMBEOqZgsViacfSd5Q6eTll3A6Ek/IuzJZ3/F7wmHu3J3jAayrOaoe6/ZvZRM60rk2JsJj8xERsLp1GvGpKenY7YYsNlGYLJYGXP+hdiNErm2fGr2BLjiQQjvUfiu9hIfjB1Esl2vJxMIijwWQRCEU40IWE4CZ3zPKEFVqYvmsMa7r+0DIMEk0TE0iZ3hD1n+8vPsWr4Em1Vv7/Z2sD9UwTBtCPasBDySHsj4NCOtmsawnPiIx0mNtbL2vplYjDJPLS0lrOjJq+/uXkXAUMmAuN5L8QM0BfURoKYGD+FgmANLq1B8IZwJifzony9xwe0/59JxejKrwdB7/ZRwUxNqVzLx1XPPxx3TxIq39qJ2JdFKBqnXuiqybGTwoAcwOqrYs/ndPvsYDAepOPA7Gnx5XDzph8gmfVQqp58+ijR06FDMFgMGQz9++tLbjJx1HpnpdjzNRoZurSSxE84r0kgxhRnmtGGx6NNyIo9FEATh1CMClpPAYOp52a/782TOmJTe/fMFv5tIwbUF1O3XS+9v+fQDMpP0889s/T/2G6uoDNRSWVGBoevXZ0LFgcaaA618mdEgc8esQbj9Yea/ugVfyM/v1v0CU7g/d028oe9O2rzUGVTaVjbwzE9X8PEb+3j+/kUAyAYDkiRROCCPsBykorwx6vJQbS2l586h4qabADAbTYy4KBVnayofL12J3xuiqbKDmERrrw8/oHAyYW8azY19l8pfueNDUm01DBr8OwwGI54qN+1ozJg1hR/96EecddZZ2JwmvCGVcFhhy+JKJKsRvwLOoJ68O7FYI8Zs018rYyyybBMBiyAIwilIBCwnSWKmgxHTs4hNsjH6Cj1Ztd+QBGKT7YSDAbSuUYjmynKykzMB2KwVATCkfQg2r4EUp1563yipnJ0Uw6pGdy+PBD+eMZDBaTF8tqueXy3+D6rcyZ+m/InBKRm9tg8qQbyeBPYWuPEl90zDhHw2ylZXdP9sNprwOdy4GqOrw7YtXYrmD+Dftp1QvT7FcuG0s3Gl1rL742b2rq8DDcbO6XuUh3AGYbW2z9PVtQto8vVj/KCzAEgsTCIeib1bG0hPT0eWZQackUZQhX/dsYI175Syr1RPTu6IH919n0BxKZqmIUkSFksaAX9dbw8nCIIgnEQiYDkJNE2jo8WPM0kfXSjdrI9QFHaNtJgsVowmPVAYMnUGdpO9+9rzPXNICCZg0yxkWJKYcuYURo2ZwUctnTR2lZ2nswlaD0Q85tPXjgVUPq1+kxh1JBcOGdln/8wGM2ZbCz5LkJ/fdQZL7QE2xuhBx9JX90a0leKDBCLzcjmwrxjXtgTMA88FoOPzJXpbSWLmlcOxe+JY9XYJAIMnpPXZDwNZaIbeA5YWdzOp5k1I9vO6j42d3p9WSaN6ZXX3sazJ6RglUBQNe2xP8OWy6VNRq4dIdAZKWLrge+z85Df4fOV01h6gc0MdnqIGvNsaqVlaRfm2Jqp2t1JT0kb9fhdNlR201HTS3uDF3eLD4wrg7wwR9IdRwuphN5QUBEEQjp3xyE2Er1vAGyYUULqnQ5qr9Sq3WYP1wmeSLJM7ehylG9dSeOY0AK6pv4G9agWjs8dS0liCAwtKo4+xzf14pEmvzvrsuUNAVeBfs6CzEe7YCjF6EJSf6sTgLMZgaeT7w+4/Yh/jHSoNriCWRBu2hBBbvSbGA0ZrZIyblGvHtzKGl9/+gOu+M5e6AxX4/3OAGDmGUEIuAJb8vO72k4aPZvmAl3Ae6IdsBpOl7z9BsymHoHkRmqYiSZGP+9mGJ0gApo66vvuY0SjTZpNJaPR3H6tfU8dQq0x1UOOiX47jpfv1HaRLsjRyKmWKxkqcZTfjt+yhUdPrymhlZtpLSiMeb11nmJbwsQUhskEiLtXONb+Z0L0ztiAIgnB8RMByEhSv00cr4lL03ImOFv0N1nFIMu55P76LlurLyRysL8W9cdZ1vPuvXSRnypRQ0t2uOt7I69vb+PHANM6dmQf1O6G9a9qmdAmMuRaAdn8n9uz/6Pcae+RdkVtbU1FU/U12fFYsK0s8dBg9ZFjiu9vUbWpgpDqIpdZi1C+cNE5voPXfu3GZOmk3NZBpS0Qym7GNGxdx73Gz8yh+LkgwtuOwfYiJHUBrKERnRw0xsT17Da3du5QkXqVJu4TMxK4NHpUQhLyY/CqZqsSGLw4wYeYAOj4+wACLgQEWCLT4ueB7BTy38ENCxjSKhz9O4a6nyei8lBW2UkaF+zM+PBDLoHiSHxwOioa73E3Hv3ZwxjnZpJ6VhRrWUMIqqnLwvypKSENRVP2courHwxqVu1o4sKMZRKwiCILwlYmA5SRY9Za+IuhgwGLoqsVy6G7FFru9O1gBSB+bgt0goVXbuO7Cq9DeacKSE8suXxAFuOHiruJwnkMSYJc80B2wzP/wke7DxW3FDEnqufeXhdUwYcVIXoaem3LL1ZN57IHPsYXtxGXqhdsURWXBv3YB0C8mhXa/wnvvf8wFoYGEvptM09JS3J3Q/29/RTZHLkdeX7mRz0Z9wmvz/nvY1ykxdTCtNdBcX9wdsHy2YTOh5rtoCQ/k6vN7lmnz2tVQuZ7caz+n/PUm0hdV8Xl1B4Vqz6hIqNlHsNxNlrurwJ0EhUnz8Bj1LQa86Euow21+/XdhlJDNXYnNViOxSbbD9vfLOtv81O93HXYXakEQBOHoiByWE8zVpO8GfMaFuVjseg2U9gY9MCha9j5Bf++7EcuyTE5ODFU1HmKLNSQkEq4YjP3gx/eDK4/Mzp6Lhs/r/rbMvZsY8pGQ+MWKXxy2jyE1BLKX4f30ER+H3cIXPz0LRYLNXn00aO/C/d3t2zv0mi2uEn1ZcWJiMm2aC8kcR+y550bdf1vbVhJMCWSl9l27BSAlMx9NlWlrLgMgGPSg1P4co2JCCvwGi6lrRMrTAqWfQ7CDTM9Kxv1qMmVxRgp3u2hGpVlT6TAbSBmTSvwofXPGsKwn3xpNGUhISJrE9PBQ/bW2fj1xvK8zhNUZXTtGEARBOHZihOUE++9v9ByKnKFJ3cda6/Sqsutej6Hog09xJvnR5xEk9G35ND1Rtz4VRTVTt7WJRKNM0YuLsFj0T/279zaTNjkHUod2XafBqGsAPcnXo1UyLvY84uL680XVFyytXMqMnN6nhmxGG2gmFHoqxvbPikNJsxKq8qKqKrtW15IaY2L69YXs/aKaHXvaiO/oB3FgtztJ69+P+KoYVr39IWd956Lu+/gDAerVaoYaRx/xtbLH2An7kulUDqBpGquX3IHJXkfFF/dSHfQTulzFZJCh45DE3I9/jmXC95l17ySaGjzc8tgqRiU5+fcvzgQgbUQKN/95MltXFFP0SS17fWYGmmOIM+iJzZYz00iYmdtzv67RkeNJofV1hLDF9F6YTxAEQTg2YoTlBAr4evbhccT3fPK2J1dgtLUxfp6f2DQvskFBMoSQDAEkg6LvXaiZsSd20pyyBZssETAE6VA7GFprwwzs2a8n3mJxwjWvw9zHIENfCbS9rhqMHYxOG8aDZz2IQTLw+7W/77OfwXAYNAM2syHi+NApGcSF4MMF+2j1hMnMjSV1RArT7hjDOdflcoZdbx9njefM8+ZwIKaWtM3WiBUz33/1dtpMjeQ4c47qNZOUDILBSopWPYJqWUqc4T4GzZlBilfjudf0KSkMh5Tr768vcZZlGdlqpAWVcf0TIu5pS7Ix+bLRxCRtAUlGCsQySNGXeCdMz8HY26jIcUQsWquPGLv4TCAIgvB1EP83PYHefmgTAKPPyYnIh5ANZpJyPEw4Zx4T9M2NWdLi5t6SKv5RmMNZCXreSJ2rlHPfe4DUghpum/QIuarC2Ps/IYiEHFZ7HqigZ6kvwNIDWwGYPmAUdrOdawqv4b97/stLu17i+mHX82VLSvcAMkPTUyKOXzB7AP/vowp8q2qxaZAztuf84Cl5LP9iPSmefhglA5JRxjglGdunZuprq8nI0nNQ4m3xEICfzLnlqF4zoyEb1fwF7cENSO4rGH/pdQBsXl4NqxvZO6mVwtxcMNog7INJt3Vf+/4afdXPxGG9Tz1d9+df8tQ9C/GF3IxT8gihYIyLLGR3MP3kWOMVVVUZ0e6Hdj9aSEUyic8GgiAIX4X4v+hJMPnSPNrqamjYry+dVUJg+tI+Oc9VNVHtD/F8dU+Rkw/LFgCQEqMnjRpkA2lJeqAy95Js+rKjcTeoVkamDQDgnjPuwWa08X9b/o+wGo5qH1L1PJVEa1zEcUmSiMmyY/Prb99me+R0x8j551BzXqh7Q8fCEaMA2Lmhp1rtuQNmA1DRWM3RUP3pyCYvinss0y/6E5IkIUkSN945jrAEC9/YC0YzXPx/MOGHMFgP1lbu2cyfVuoF4EYVJPV6b1k2EBvroT1sw25YjCZFF96TOL6IxX2g516uTw4cpqUgCIJwNETAcgIlZ+sJseFwiNd/dy+v/vpnNFbtwteagTMh8s3/gE/PH/mk2dV9bESyvrLHaewZnXnw6jEAvFAUuRPyoco792HT+mGQ9SkbWZa5c+yd+BU/f9nwl6j2CXYHAK6AL+pcdn68fg8Jkgoip1oSEpOZePbMnp+TkilPbcC5Q0NV9WJqz299AYCkuMhr+6J0jsFVMYFBA/+C0dQzIJgQb0Xq78BQ42PPvlYYeQVc8Bcw6G3KG6sAOCOhGFXx93pvAGeSgU41GTQPIc0RXfBN0n/WjjFiae4qBmibmkXnmlp8u1uO6XpBEAQhkghYTqDyHfqb1uZPNuN1taMqCm8/rNdGqd5lONylAFjQRwravJ7uY+Oys7HaXCza2dzXZbQHG0iyZEUc++6Q75JkS+LNkjfpDEauTLJ27eDc4Y8OWMaO1SvTSjFGjEexmsY6PpVsbxrl+0vQVI1GYw0Amcl9V7g91IgpE6lb/31aq6IDhiu/N5SQLPHeczuizrm9LiRjOxeM+Cc7N73a5/1t/QvINkl41Uupdpq+tiXIgQMuPJJE4gUDsA5JpO3tEhR34MgXCoIgCL0SAcsJ4veECAf05b9GU7D7uObXRwI6m2JZ9f57AKxcNZk/+i7hMe2H3GzrGTl5cXkpmmpkbW3kiMGsETKVdYks3x9ZNv+gsObHabZHHf/DmX9A0RTuW3lfxPE7314OwOis6L2GEhNtLLEFcfc7uuW69mx9JCXU4kM2yGSr+WSEco/qWoD0PH1aqrFSLzIX9Hn54oVnqCneQ05WLOY8J0aPEnWdyZqII+8RHm2yUOpa1ef9MwZkM9ahB179vtN3bZpjnRIytgUIJ1iQJImE7wwGg0zrG8VoqijZLwiCcDxEwHKCuJt7RisSMxO7v5dNo7u+0yhZrwciwWATmmSlkSxmef/OF0sLae+oZUmJDcXfjx0tOyPu/eAFF+Mc/P/4xcqfRj1uZ8CDamgjzpwYdW5av2nkxeWxrHoZVR164KRpGrVNTuLj2jhrQEFE+5q6Di7/yzK2WRSuumjw0T3vVn31UlxiIr97+2F2mzcx3jk5up+tLfzn5/PZ8P7bEccNRhmDSaata+n3ji8WseXTD1jy76eB7gXc3X1fW1HGX1e+wauVC5AMemDoCVXQlwHJPYFcQWEKXq+XDRs2EAjooyHNe/T+OzMcR/V8AbyNXhyahnWAHmwZHCYSryogsN9Fx4qjy90RBEEQIomA5QRpq+/Z0TircGD35obhcD4Z+XEMmtqIrzWVN/72Lxq2XInTMJofT38dozEWTQuxZMt/6QzZSTPn0hqqjLh3rNWOZPDhJXqX4UfWvYYmBbmi8JJe+/XXaX8F4J7l9wDwReluNCWGqybFRt/rsbXUhcO8dMVo+udFB0C98TXpyacJ6SmscesjN6MyRkS127NqGc1VFWx4763unaoPik+142ryoaoqDQf0InJN5fsJBfz42wKEbDK//vwFxrwwmx8su5SX9v+JZnU7CYZEzJJGqtT31FVsmh1F0+jM0gOSJUuW8PHHH7Ny5UoA3JsbCADJI5OP6vkCNG7Ut15IGtuzOsk6MJ6Y6dm4F5UTqOx9V21BEAShbyJgOUE+f2F39/cms4V5v/4jF915P7IhkbgUG4PHFZKcV0PQa6O9bDrN+wrZ2BFkf/rfANhT20ScuYPs+BS0rhLynStWsH/uxfh27ERGzzu59f2eJFpN01i4/y2cyijmFPQ+3TE4cTDj08azq2UXmxs20xbQ30wHxudFtd2NwhRMTBmXFXWuL6FWHx6DD0uMnXOSz0fSJOZNuSCqXVu9Xvwt4PXQWhs5CpE3JgVNhapdrYSDPXkgQZ8PAxLecJD3qh7DKadx48Df8s4Fi3hlzt/pUFoYZw9jIT3ifqqi4HW1A/rKJ68kQdesUmWlHgyuWaNPxdna/PiTbMiGo/+n4t3Xjh+IHRAZ9MWek4M5K4bW1/ai+qNXZwmCIAh9EwHLCTLn+8MB9F17JYl+hcPIHT0BANkok1s4hqt+cR3X/fZa4vs14arN4Zpt+7mvJolyBlDnlumf4MVqtKJJesDS8ty/COzbR+vLLzE+fSwARS2LULtGKN7cuYyAXMs1hdcctm9/mfYXJCTuW3k/LZ361FWS0xLVLiXGSof9yMnBh/J6OwkZFOqaG3i//h36hfIxGI90j8jE1+HTMgHYvaYOZ4KeeGyxO7DHxWNLthIX1JAkhafm/IkbC6ZgCtZwz/K70ICL7ZORY9ay+P3v0VSr7+H06dP/4JnbbuheVo4soXblF/n9+rScqqp46zxYNbDkRy7vPhKp2UfAaUKWI/95SQaZxGsKUb1h2t4tjV6RJAiCIPRJBCwnyMBxqYyalU1sshVZ1t+Qw0H9TdJgjHyDzhhko6M+lWBIP7+K6bQH4rAata6ARd+sL1heDoB74QeMSdWXN4cNDYx8YQrDXxzJA2v/iBxK58cT5xy2b8n2ZKamXk7xptt58D0fkhxkyoABUe0KEu3s8AZob4tePdQXWZVRJZXPd67EbWnhl5N+2Wu7hHQ9KLHYHSRmRo7g2GMtmO1G6krbGTxxCkgSgyefhSRJxOX4cagmHMF4Xv/iCc7+aA4Xf34TdcEQtxWcwzkznsDovwLsG9m85TrCoRAl61ahKgr7NujbJBg0DbWrdozdrue0JCQk0LC5QX99xkQW0DscVVWxhhQMqb3nvBgTrSRcPgjftia8RQ1HfV9BEIRvu68UsDz00ENIksSdd97Zfczv9zN//nySkpJwOp3MmzePhoa+/8ccCoW49957GTFiBA6Hg8zMTK6//npqa2v7vOabKuALY3X01FvpCVgifw0pOYmgmIjx6SMlXzCbclcyZw2MJagEkeQQiqJG1AaZlj0NgGzrSHLt45EkDYOliekZl2I64ogG/GrK3d3f//rSZCzGL+V9lK/ie0Oq6UBjyaq+k1i/LDUni8RALBMXxfHr6h8wKCM6EAIYMnUGKf0HMPHyq5Dk6D/L9AGx+DpCpA4o5AdPvsDsW34MQDDYgIqKZoxha4de2TbfopBtMXHp0Nuw2BxMv+Ah1EAqRlsTNaXbUEJ6wLf+3TcA0Ixy9xRNXp4+FTZmzBg8+9oJAHG5Rz/C4m8JYJIkzKnRq7IOso9KwT4ujfaFZYSavH22EwRBEHocd8CyceNGnnnmGUaOHBlx/K677uKDDz7grbfeYvny5dTW1nL55Zf3eR+v18vmzZv5zW9+w+bNm1mwYAHFxcVcfPHFx9u1U5anPYAjvmeqJRzUAxLDl8q2G016IGLsyqu4TH2LG4e9zrkjJzIiVV+58/TGjzBn6/vxxF54IcMShyEhkRQj8+E1j2NQ9TfZn5155VH1LTM2ljsv1IMpbzAy6RVfO/znYvovu5nppnae31h11NMZE86Zyf6z3NhVK1M6RpPkiO+1nTMhkev/8n+Mn9v730rhZH2J9c6VNcQkJSMb9CCscasfT3wLr53zFFJYJl6Gu+zT+PjqzaTF9qxkGpDzGwDkQ4K32BQ9KVaRJAxdy41nzpzJNddcw5QpU9CavIQc0bVZlHAIVY1eSg3gOqAX+nP0c/Z6/qD4i/MxxFpofXUvWkg9bFtBEAThOAOWzs5Orr32Wp577jkSEnoqlrpcLp5//nkeeeQRZs6cybhx43jhhRdYs2YN69at6/VecXFxLF68mCuvvJKCggImTZrEE088QVFRUXcC5Omis9WPM6EnYAl1vVF9eYTF2VUFdmqZC7OqMdSURk5MNbkOKz8OlWIL9+Pt4ndIvPEGjBkZJFz7XWRZJic2hx3NOwirYUJ+fRVPR6DvKq9f9tMps4mPr+fJJdX6BogH1W0FTX+D/mXePnYHg2zcVBN1fUNDA8FgMOKYLMtkh/TAwRVrxmw7uvotX5Y/JgUkKOuqIAuwv6aKuLYMCodK7HrvLSpjKhljD1HWGF2graZyMQBWh5O4VL1o3cRL9WBONcrdezGZTCYKCgoI+RUcIRXjlwKPoM/L8z/9AW/87pe9Bm2+Gr0I35cTbr9MthhI/G4hoSavKN0vCIJwFI4rYJk/fz4XXnghs2fPjjheVFREKBSKOF5YWEhOTg5r16496vu7XC4kSSI+Pr7PNoFAALfbHfF1KtM0jY62ADGJPZvrKQenhLpGWNa/+yZP3vpdrOZE0ofvYvg+eKiylCQU/IoF6+q/IC/5PVPVEG3hSmLPPZdBS7/APlZPuL1u6HUomsL7pe8jG/W6JWWtRz+1Jssyv7loBH5fLL/99LOeE/6e17Yg8AVpkswPF0RWly0vL+fpp5/mnXfeiTge9Ifxr6mjLawy9L4JR92XqL4ZZGKTrbRU91T53bNvPwA5Tz/LgKdfINNlZm58iPTEkVHXByV9SXVSWj6zv/8TRs+5kCFTz9ZP2ozIXxpVqi9qxCxLJHxpOXPF9q10tDRRW7InajUTQKDJS0jTsCZao859mTnTSdz5A/TS/Xtbj9heEATh2+yYA5bXX3+dzZs38+CDD0adq6+vx2w2RwUaaWlp1NfXH9X9/X4/9957L9dccw2xsX1/Sn3wwQeJi4vr/srO7nvzv1NBwBsmHFBwJvS8kYW7RliMXSMsmz9ZiL/Dze6VS5n3k9tJzK0mXB4kGPYSUq1QtR6As1y7UQzNtHg7Ih5j7oC5AKyqWQWyPkJS3n50r/tB84ZPoF9GHW+t89Dq7cqvsB9S6G7iD5ibnUibpuL19IymlJSUAFBcXIyi9EyXmK1Gvbhbiu0rl73vPywJJazSWKEHUB1uvX8mdzMGVaOgzEBpex5DR/QEzAsb2/n7gXo01YLBdxmyQSZ35Bhm3XwbJov+uzBnOHBoGr7WnmRi984WVCBhRGTA0tHS1P39npXLovqotgUIGuSjfq7OMzOxFiTQ9lYJSkfwyBcIgiB8Sx1TwFJVVcUdd9zBK6+8gtV65E+QxyoUCnHllVeiaRpPP/30Ydved999uFyu7q+qqqqvvT9fp45WfWrGmdgzJeTreoMy242EgoHu2iAbu6q9Zgy009mchBJoJKzaIKAHKIODQSRJY9mByFEOu9mOxWBhb+s+NNmNpkF1x7EFLAB/uXQ6imLm7vc+0g9kjgFLHBgsMOhczhqi537UNvaMdnR29uxH1Nz8pX2NzDLy15CmMWKGHpTuWFaNqqqUb2ojZGzCqOhTQOdu9fDwxjt54Iu1tHW24VNUfry7nL+W11PiSERRfQR8nqj7WlP1zSSDHaHuY1ptJz6bEdkcmXwsG3uSpmOTo1cPSZ4gYduR91jqbi9JJFwxGCRofVOU7hcEQejLMQUsRUVFNDY2MnbsWIxGI0ajkeXLl/P4449jNBpJS0sjGAzS3t4ecV1DQwPp6em937TLwWCloqKCxYsXH3Z0BcBisRAbGxvxdSor3/9fAN55uIid674AoLVGf/NM6edEkqJ/FXmjhqApZmLb6/BJI8Ghv0HmObNBsfHPzS9GXaNqKi3ediQ5jKbYaPA0RbU5kjP7FzA8v5nlO42UtTSD2QG3LIJbF4MzlaxE/Q2+prnnzd9s7slNiYmJieyTBZQOX3d9mOOVkGYHi8qu7Qf4y2MvEdOYTuHonlGJ1cMSuGtqEyvK0/nTu29S5vUT7nr/X8K54PiUlatHU7pzacR95a4RLrUrjyXgDRETVDD0kjib3JXoDDBw/KSo88agihR7bHk6BqeZxCsLCOxrp23BvmO6VhAE4dvimAKWWbNmsWPHDrZu3dr9dcYZZ3Dttdd2f28ymViyZEn3NcXFxVRWVjJ5cvT+MQcdDFb27dvH559/TlJS0vE/o1OUMWYjsf316qnL/6NSV76H1jp9VCIh04HRZCIuTQ/qzrziWgCyBw7FmlhK0JNEbr/zYNA5ANhGXs2lOfOpV9fyylY9N0NVVX696teE1BCaZgTFgVlKpNXf9y7Oh/P45ReCFOaOdxbpB1ILIWMUABmp+ht5dWPPqEpWll47JTU1tbuWyUEG1U3ADy8/8Brutq9We2Rz2iIMHhu2kgwSZ4Y458pLoGvFUOf46dxx4Y1cd4af9/ekUd81YgWwVT6TtJi/IckqFY23UlO+rfvcwYBF6cpjOZi/Ej8yegQlq2AoY86by7Tv3Yw9Lj7iXDigYNU0TEm2Y35e1sF6orV3UwOh5qOvcyMIgvBtcUwBS0xMDMOHD4/4cjgcJCUlMXz4cOLi4rjlllu4++67Wbp0KUVFRdx0001MnjyZSZN6Po0WFhby7rvvAnqw8p3vfIdNmzbxyiuvoCgK9fX11NfXR604+SYLKc2ccZmXy36RiySpLHiojoqdrUiy1F0R9ayrriN76AhGzDwX0KcL4kctIiF/JbIcD2fdDTd8CFN/xm9mXIOmSRTV7kXTNK748AreL3ufLGcWSjCeVNMQ7HIC7tDxJXPmJWYwfYSXnftjWFseuYrFkeYgU5LZtL/n3iNHjmTmzJlceumlEW1VRcEWsGIo2ImvPZYPn/4YRQlxvGaMH877Qx8n5tIyrrlyDobYWKp/fz9/ukrmjDF6LZo5w/oTVk343D3B0YODcxg+/jJiDfcCUFO+ovucdDBg6Rphce9sRtEgcVQvUz6yzMybftjr8mt3pRtZkrCm912DpS+Hlupve6dETA0JgiB8ydde6fbRRx/loosuYt68eUybNo309HQWLFgQ0aa4uBiXS69XUVNTw8KFC6murmb06NFkZGR0fx3cz+WbTtM0fL5KbLb+ZOblcfXvhjP6woOfohU2Lv6Yoi8+oXDKdK783YM4E3tGmJJj8wGoKP9/qJIMA6aCwYjZYEZSrbiD7Txa9CglbSXMzJ7Jv2e/QdBQzviM8cSakvAqbcfd70cuvgyD2c19C1dEHJdkicE2Cw2uniXTBoOBadOmkZmZGdFW8fiQNRPpQ3KYclUybZX9WfFu5EqiY5HSYKHNXkelYWX3sXcsDWzLNXP5kCkADEjTp206WuoZFWPDbpCZkaRPU42beitq2ILP27NRZPc+QYoeJGi1nfhtRmTzsW1D0Fmp5xg5c459ejJQ1g6AbWwqwQNuPBuOPfdIEAThdHb02YF9WLZsWcTPVquVJ598kieffLLPaw6tX5Gbm3va76kSDrsIhzuw2fSk0cS0TKbMzaR0wxtoSGx4R1+JMnq6iuFLm+wFAg0YLJBlL+azTS9z/oQbUBSFuo4WMPiQTV5e2LWAZFsyj5z9CHubqpFkhUxHFlWWBqoDm1FUBYN8bG++AIn2WGaPMPLZZif7WxrJS+rZfTjObqLUfeSpC6PTgSqFoD3AiIsnU77zVfZ8kUTe8J30Lxx+zH2q2yuRm5XC5taeXI/WYA1yOJUYiz5VlZ6QQZylg921ARZ851y8ikqKWU+W7XQ1IRmCOK35PTftesk1VSXoC+MMKiiDjj3o8Nd7sGkasf1jjtz4SwLl+sqnmOn9kI0yrk8OYC1MxBgfvaeTIAjCt5HYS+gE8Pn0Ang2a+TS686mFDxNPctmX/rd67Q19tRN0TQNRdqPMXgRld6JaK6HeXnRfby3eDorVl2IGY21zQuQJZkX5ryAQTaQGaOPzrT5XczsPwMMHTy44rXj7vu9M2cA8NelyyKOpzrM1ATDqEeYumgv3oGsmbBk6kuj51x/Gda4Vpb+dzuqGsbn6aBsx3r2bPqcjZ9/wLK3F1BfWdrrvapL9+JpTmZEbAzlPj/NnfrrKvXyZ5zq8NHYEcZhMHQHKwD7936OJGkMKDin+5hk6FqCrGo0bG7ALEnE9TIddCShZh8BScJgif4cEAwGu0cVexOs1vOBjCk24i4YgGQx0P7uvtM+mBcEQThaImA5AboDFlv/Xs/nT2ohf5IHb3M6n73weffx1rpWTI46EpKGM3vSwzQHR5BmeJt4cx1p9lbGO/S8h5+N+xm5cbkAOMx2NNVIZ6iDW8afTTwjeavs38e9QicvKZWs1BaW7g5E3GN4dhztaLT2sRGit7GG8t9/gOc/LsIWN8mjzwLAbLVx5hV5eJrTef4X7/HivSv59EkPX/xLZsPbDnZ94WTBQ2VsX/1ZxP08nY0sen4b1rgmrpl5BxoSX5S9oj9WKIRBjqx7YjEo+MPRtVA63WWoIRvxyT0bLEpdo1qaouHa0YKiQfJxBCyaO0jI3Ps/qVdeeYXHH388esl3l3CLD8lqQJZlZKuRhEsH4i9uw7ulsdf2giAI3zYiYDkBfL5KjMY4TKbIaYbYHH27gulXnM95N85l4hUBWg70Y+/mVQDs2fksSBo5+WeTnZzN9Re+wZQpm8kc9C5x2c+y2WtkdGwq1w+7vvuesgSaYscb1qcY5g26AtXYxNa6/cfd/2snDsDvTeTdXVu6jyUn6bsR/+PdXb1eE3S1YPTHA2CaLmEw9iz1LRw7EUdKA8HORHLGNnPhnclces8gbnx4Arf+/UwScppZ9apG2Y4iag/sY9Grr/DGg58S6IjlnJuHMChjEhlmI6tqVhJWFKp8O0g05UQ8vs0k4Q1G7/eTlDKWveEAj7779+5j5q5lyEF38JD6K8c+hWbwhdEO2dzyII/HQ0VFBYqidBfY+zLVE8J4SFFB29AkbKNScH24XxSUEwRBQAQsJ0TZ/r8TDuvTAe6wwo93V7Co2cXwOTUMvPhuTBZ9JGDsjDmYY9rYsayU+srd+KQXMfguJz5xUPe9HNYYhmSPZGC/Efg0ifNzp0c8lkGWQFKQ0N9wx2QMBGBHw/EX1rt1wlSMZjfPrOopVDdmpL4fz39LG3udtrCn69Nf8nmdZM28IOr8NfdfzA0Pj+LCm68nt3AkWfnZOOKcWGxOLr/jMhzJzXz6pIt3H65i34oM0Cxc+JPB5BToZffHJeWxta2a73/wEIqhgR+Mvi7i/qmxRpo90VMzRnM8zzZbedHzMq6uLQfsXat6/I1enIEwctbhNy7sjaZpmBUVOT66oOKhRfUWLVoUdV7xBEHRMGU4Io7Hz80DCdoXlh1zfwRBEE43ImA5gcLhDl6va2FBQxu/2VdDUsp4jNYOWtvW8GxVI5dvLSN7okTjvn5s3X4dajCGyTN/2+u9qtp2AtAvJi/qnGTwYTXoiZ/9YvWpjXrPkeufuBYupP6Pf0I7dONDwGw0Mn6Qwr6qWJo9+koYu8PMA2P1Ka6K6uh9nMwxCaiGAOEOb6+PZbE5cMb1Xm/HYrNz4Y+mdv/cb3QlN/35SnIKexJlp2bPpi2sscn1Onnm87hq5NTIm2hBVK1rR+eOMn77+dX8Y9V83tv3YneTxZv11U8mm4mwBuEKNyZJIn5UZDn+o+FrDWCRJMwp0UuaTaaeUZf8/Pyo8/5ifSWXOTcu4rjBaSb+4nx8O5rx7Ty+ejqCIAinCxGwnADjxr4BQHHx79jj0ZcCV/iDSLH6m2xz61oePlDPOpeH6jETMNraMNnbibVehtXe+6f9Kpc+tZCTMCTieLO3HUlSiTXFA5CXmArhWLY07DxsH9VgkLpf/4a2V16hc/nyqPN3z5iMppp4dPmy7mMXT80FYHlR9M7N3bTjy51JzujPrO/rb/5WpzFqb55pedd0f3/BwLOjrvcGVdoDZh5ddjeXvHcpn9Tu4sWy5bzkXk+2yUR8MIWl+3ueS0gGpzuIomkkj06Nvp87QHujl1AoepoJwH1AH0Fz9FIdNz4+vnsriwkTojeADHRdaytMjDpnG5mCdUgibe+XonqPv36NIAjCN50IWE6A+PgzyMy4Eo93P6FDVtUoln6ATKW7Ao+iv7E/VNNK8uANaKqBMWf+BACfovJybTOtoZ6Rj5qOcmQ0MuMKIx7rQKteij8zVn/zkySJdPMoit1rD7viJFRVhdZVqK/1xf9EnR/fL5/EhCY+3NpTLC4+VZ/C+N26A/j94ahrNDmM1vv7+1EpHDeJ7/wqh9nXXBV1zmmJxynruSfJtvio87+5ZA6muCL+XbGYkfFZLLz0XRbP+5D5Befyuym/IZl02kNtLN+xlsb2ZhSjjAHwWqPzVzZ+dIAXfrGaV367jmdvX47HHYh6PE/XKp/YAdHLoWVZZt68eUyfPp1BgwZFnQ/VekCWMPRS0l+SJBIuHYgWUmn/6EDUeUEQhG8LEbCcIEZjDIrSSYZFnx5wGGRyrGYawjIfVPcks3YqKslDViMTh9WmTxE8XdXIPcXV/L60ZySjtrOGOKOM2RiZ91Depgcs2bE9q1wuyj+fsKGRd3au77N/2iFVhb0bN/ba5tKxabjcyazYr4/uSAaJtK49kGRj9IoczRhCC3y1UYG07IEYDL0ksvo99DPoiba9TXflpeeSmylhCKfyzNxPyYgdSIozlx9N+jsT+1+G0xBDWbiYn2z+Abe9eweqqet59JK/smVxZcTPn/97d1SbQKOXsKZhTe69LP+gQYOYMWNGd1XjQ4Vb/cj2vksiGeIsxF+Qh7eoAX/J8RcCPFX4wj421vf+NyYIgtAXEbCcIBZLGn5/HXOTbVhkiSvTE5Eliacajaxwh7CgD0X8Pj+DsNJI3CGJtuva9U/vb9b3vFk1eJtINkUXFat267kOuQk9AcuPJszBoCTx8MaHqXX3XqrfmJbW/X3673rPm7lz6gxkg5fHlve82dw6LBMDIH9pykYJh0CTUANfYYjlMH7+6msUFevJvInm6IAGwKf4MEq9l8lPs6XhMetTMeUUE+z6lxD3pf2DVFUlHFBIz4vjtqfOJrmfk+q9bbQ3RObmKO1+ggY5aurqSDRNQ/OHMSYdfvdz+/g0LPlxtC3Y9z97TU+Ud0re4ebPbhZBiyAIx0QELCdISsq5qGqAZM/n7D5rOP9vkF4HxKXov4K59mr6W82cG9MOaMTGjuy+1hWOfoNq9LtIseqJtWowSMeyZWjBIPWdLQDkxPckjlqMZu4Y/St88gGuWnBnr/0zJibimDoV2enEOWNGr21irXaG5naypcyMt2tEZkC6EwWorNLf/Ft3baL81TeofPgDDP4Y7IMye73XV9HkamBJaRIz+xn407C/c82Yub228yteTH0ELN8ddyVxwWT6+woJygGqtCbCmkbK2Mj8lZBfQdNAkvWpnXNuGQbAon/3LOfWNI2EVj/249j/J9zoAw1MWYevjitJEgmXD0L1hHB/Vn7Mj3MqqXBXAPBo0aOiMJ4gCEdNBCwniM2WjcWSjs9XicNg6P4kPlazc0aJirL7UdZPHkqMok/7WK09b/SJJn264NDP7s1BH2l2PShpfuJJqn90G83PPkeTtw00EzZT5NTETWPPYU76D2hjK5VtvU8rZD/9FAOXLcWUnt7n8/jx1DGoYTtPr9X38sntp+dslJTqIzftK0swbs/E1JGCOrmR9DNnHfG1ebW2hS9aolca9eU/yxehaAb+MO9CLjnj3D7b+VUvFrn3gGXs4OGs+v5SnrzkMQBW+fdRpEgYvpS/0tGq56uk5OgBRWKGg8xB8TRVdFB/QO/zoaMqnkbPUT8PAH+J/rpZBsYfsa0xyUbsnFw619YSKO+7au6p7oDrAPGWeHY072BxxeKT3R1BEL4hRMByggQq3FiCmYSVyDe0axcE+cU7KjkHGmipryHg1zfls1gyuttMTdDfLK/P1JcBh5UwbaEwGQ49qPGsXg1A+4J3aPW1YtR6/7R+yZApSJLG4tItvZ6XjEYMzsPXIDm/YBQOZxNvbqwGYMDAJBxI7OzauVmSJALJ1aT9ehT9L7nisPcC2NHh5e7iKq7fsR+PcuSpDkUJsWC7ypT+rWQmpkWdX7LibD5e9TN21ZQQUj1YDYffOdlmM5PSmUMQDVNO5Ovm7Qjy9kP6tMXgCT1B3Oybh+qP9aKeyxIOKnziChHSNMr/u/eIz+FQgf164GHJjztCS53zzEzM2TG0vb0PrY8VS6e60vZSri68mrOyzuLxLY8TUsXqJ+HbI6yG+cPaPzB/yXzxt3+MRMDyNfNsaaTtvVKaX9xF03PbUX366pmmp7eR8dntqEpPKfvNNetJL9OXOY/aqrFj7csEgnoCqc3ar7vd9/ul8OLwAfw2Xw9Q6jtKUZHIitXroCjt7QCEa+twBduwyL2/+U3KGgKKjeXV0cuWj5YkSZwzwkFDcyK76msxGGUKbGZ2Ner1WVR/GNlswOQ8us0Di9x6LkhYg9VtnUdoDZ9uWUxtZzI3njWy9wbhKl4I9uOC4hZu7dfGEPvhRyI+f2cr83b8jCRPJvljI/NXlv23GCWsT1mk5fY8n5gEKwNGJdPe4KV8RzMN5W6CGtSYjDgbPLTvbz/i8zgoVO9BMsu97j/UG0mWSPjOYMJtftyfV1LuKuelXS+hqN+M4KXd306Lv4X8uHzuHHsnle5K3t337snuliCcMO2Bdt4qeYsV1Sto8bWc7O58o4iA5WukKSptbxbjL25F9YUJlLloeWVPRP0MKdgzVbO29ENMXe8zA0oklLjnKC/Xd7m2WHoCFpMscV5KHA6jPl1R2abnT2THDgZAPmRUxBNux2mM77V/ZqOZFHky29uXEFKOP7K/5+yZIIX521J9C4F+VhNNXZ/2Ja8NYo7+zfPgcm6ATa7DT6d4/H5eWH2ANEcHM4aN6bVNhX8Kq5lGQLKxyziRM9LiD3vP+K7RqwR/OoMmRI7YNHTVR5lxXWHUdbNuGIIkw7JXimno2mk569J8wkjUvN57+f3eKO4ghoTDJ9x+mSnVTuysHNwrqvjNO/fy101/5dkdz34j8kFK2/WNLfPj8ylILGBu/lye2voU3lDvBQYF4XSTZO0pmHn3srsZ8Z8RInA5SiJg+RqpvjBoEH9RHqm3jcKYaiNQ2k7tH9Z1tzFs7knqbGnLINz1G2jIi3yz+XBDdC2Ug6rc+wDISRgBgH3cOAASb7yRgOYizhxdgOygW0ddhSK7eGLDe8f03A6VFZdEbmYLq/cq+PwhNrR7iesKppA1tGPYaDHZ1DOycHFqfJ/tNE3juqceYVNdLteMj+1zNY4lYRqqpPflTel7XDb+j4d9/Asun0jApL9ZvvaX1WxZVNn9xh/whkjIcDB0SnTisMVuonByBp72ACXr6wHoNzwJZVgSsS4/jVubDvu4AOFOvSS/+Ti2AnBOzULRVAa0pzMrZxZPbX2Kzyo+O/KFJ1lZexlGyUhubC4A80fPxx1089Lul05uxwThBFEPKaa5o1nf7mR17eqT1Z1vFBGwfI1Uf9cog1V/E067axymrn1qMEiQ68NaUsi+Je9wzZP/5t/rctibrb/x1k/S3yRtJefh6FTA9RLBcO+jILUdFVgljUSHvl9Pyh0/Je3XvyZ5/o/R5A5iTQl99vHqUZOg9SKe+NTTXWb/eNwweTDBQCw/fHo59ZpKYtdzRtVAPvpP+lMTnFhkiRyrmSHO3muYABTtW87mxlFM7V/L7eec12e7If17knwTtSbs5r5fi4OyZ+rLwzurFdYsKOXtvxQR8IRQwhrJ/Rx9Xjft6sHIRomWGg+SLGGyGsm7ejB+SaLpvdIjPm5gz9En3H5ZXUM1RgzMnTCPf8z4BzOyZ/Dopkcj/md4KiptLyUnNgdTV22dTGcm3y38Li/sfIFWf+9L7gXhdLKxIXo5/5bG3vMKhUgiYPkaaV35KrKta1WPJJF6+xhso1JIu30MmbfOJpzTiGFxEh01Sdwyvo0nL5J5fK7MOu1SVq74Hh31CkNLOoiztbBw3b8BUBWV/Tu28sbfXqKuvIS6znoSTabuUQZDXByJ37sWQ0wMmsGD3dh3/ogsy1h9U1ECKcx8/C32t9Ud13O9fuwUzNZWVjToq2j++pPJ+msQgk7/nl6v8TRUUfn+O6hKT1XcTKuZpeML+XDsIAyHqWHy1NIdJFg9PHfrTRgMff/Z+lwHiNX0qZzzDCuP6rk01ujtJ12q78vUeMDNR09tByDjMMGE0WRg9Cw9aNS6ljQbzUYME9OJ84epWVF92Mc9mHBrLThyUPVlteX60uCMXL143vVDr6fWU8uu5t53zz5VlLnKyI+P3E/p1hG3YpAMPLPtmZPUK0E4cYpbiwH4xfhf8Om8Tzmn/zmsr+u7qKfQQwQsXyO1qzy9bO2Z5giGQ9QOD0GSGdkok3PzxfgliRtT4vnNBXNpjTGwarhMWIkluX4ayWETsZ1hkpsDhF2vomkav/vtQj55spXm0n4seKgaactAUiy9f/KXNCP+cHTp+EMZsCDLGp2dcVz9/CfH9VwNsoEzC3sCDKutq3ibpGAxRq/eAWj8dA3y2lRqFn0QcTzPbiHV0nvxN4B9NdtYXp7D9ybYsJoOn5xqlCVu5Dmmaks50+k7bNuDPI0K7VlVjDsvlyvuPwNJgroyF0gwfGrWYa+deIke5FgdPf3PnZtPpyzh/qwC9TDTY6F6DxgkDI7okvxH0lnTgk/2k5GpB0yjUkZhNVjZ3Lj5mO91IpW1lzEwfmDEsXhrPDePuJk3S96kyn38u4oLwqlEVUOoajDiWIuvhcc3P87I5JF8b8j3yHJmcWHehVR1VFHdcfgPOIIIWL5Wikv/4wxWubvzIL744gveeecdVq3SE1QVg5l2TcMRCMDfC7jZncrQ+ikMah4Hqpd6tz6l0VyfyRNbrmXAfR/T7NanlfqfUYs1vplQRwaVfn+vfbBIyVR1VvZ67iBvKExajI3LJko0Nqews/743iR+PmNq1DFJNqCGQ/h80Rsiqq16QBcsO7YEyyc+X43FGOb7M845bDuX38u/9m4g3reBH/EEI7IuPOK9NU3D2ObAma4HQqk5sVx852iyhyRy0U9GIsmHr1x7cJQrpX/PkmjZKOOYnUOMolLxcXmf14bb/MiOvgO1w1EbAzQ62jHIer6OyWBiTOoY1tatPa77nQit/lZa/a1RIywA1w65lkRrIv+39f9OQs8E4esVCrWxdFkhRZu/G3G8qKGIoBrk0RmPdv+/Y3z6eGRJZl3dut5uJRxCBCxfI0+RnnzZ+lox7s/15M0DB/QN6zZ27c/j8frIwYDdVwJhPz9t28SQyssxmDYRcD3Dfvdu3EoKf2m5jUafvsy2xqiionHWVVeQM1Iht204MYHeE2vTLYNoCupJuQQ9sPF58EbmBgRCKjFWIz8/eyaSHOLPi1Yc1/Mdnta/+3strOJvrcfUmYrHsZM1a6exect1kZ8wQvo/UClkQFVVQr4jL2Oubang05J0rhilEms7/Gqah1e8xbr2//Jh+7lYB7xDQfrZR7x/fWMzlpCdrJyeysD9ChK5+I7R9B+WzMaF7/DR43/VtxrohatJH8VJTI+s95I9Mwe32UBwdQ1KMHrVlKqqaH4FU0rfeTuH42g34U2I3HBycuZkiuqLCCrBPq46ucraywCiRlgAbEYb80fP55MDn7Cr5dSe1hKEIymv0Kc33e7I3JQtjVvIdGSSau9ZfBFrjmV48nDW1p66HzZOFSJg+RrFndMfQ5IV2+gUOpZU0vLSbvxdIyFer5dQRyfuv+gjLTb04EbWVBSDG8Wtj4qEgqX8S/khxYFUrhw/kPKHLuSHcwYjI1FV18mZc88lYPQypebKXvtwRvoYwoZ69jbWwap/wEd3w+LfRLQJKxqxVhMZsfHkZrjYWhG90/LReuISA2/gpGLLXrxVtUiagczxl+B0DqGtbQ3bd/z4kAfWRwMMLQlU/Gkh9Q8U4W3uO4dGVcPc/vLHaJrE/HMPP7oCkGzX6888cu69TBkw+qj6v2OfvgS5YGBu1LmA18uKV15g7+rlHNja+1RLXameh3LoCMtBSRfn49Bg/9v7os6FKvWEZ3NOdL6RpmmHnUpSFIVUbwKG1MgAbkrWFPyK/5Tdo+fgCqGcmJxez1+cfzF5cXn8o+gfJ7ZjgvA1UhQvtbVvAWA2R271satlF2ZD9BTw5IzJrK9f/42pp3SyiIDla2TJiyfjnvEkXV1I4ncL8e9pxYw+1WC1WmlesxFD2M6yhB2UaD2fIpsMGkrX3jxhpZnnw0OxmQz89iK9omrF/nYCksbgAfE4YpJQh7QQV53Hvq7Ey0PNGjABgNVV26CyK2Lf8t/u882dARRNI74r52TywER8nmQOtDYf13M+Z8IMArZa6teWEvS0A5CQPomJEz4kxjmclpaltLToIziSYiCU3IhmCWDyJiEhY3L0XeF1Q+k2iupz+MHkAKmx8UfsS7O/EYBUR/IRWvaoONBASA4ypH/0NEV7fW3390Uf9l7crKkr8OgtOTftjDRcThPS9iaCnshRD98O/fW2jYzu68KFC/n73/+O2937dgW1lRWYNRNx/SL/ZzgofhAZjgxW1azq9bqTrbS9lP6x/btXCH2ZUTZyx9g7WFe3jjW1a05w7wThqwuF2tmx83YUpZN+/W5AUSKnv9sD7TT5okseTM6cjCvgYm/bsVXK/rYRAcv/iH1kCqZ0O5kGvUjQ+PHj8Vc2EIivIXZmIdsUfVjcZ4qjWHaApv9PvNqWhUeG+84vwNxV26Sj1Y/fImEx6T/feu08FCnEF19sinpct1+fuoi32cAfXeX1uRX7AbhhSi4AV4zSa7m8vuX4ltVZDBaaBwVIr40l2DU9Ynbq01WjR7+AJBnZsfMnKIoPKWzClGcn9zcXExpegyqHqH1tEeV/XMj+51+NuveOSn3U6bZzjpyLAmCW9eXJjZ3tR93/tjoP/lgXRmN0Mq96yFYB7Q29jwS1NejF7mISe5+uyrxyMGZNo+zV4ojjgQMukMGcEVmDJRgMsmXLFjweD3v29L7aqq5cf12yBuRGHJckidGpo9nZvLPX6062svboFUJfNiN7BmNTx/LLFb9kSeWSE9QzQfh6lJX9jba2tQwpfAinYxCK4unOZ1xUvogDrgPcOuLWqOtGJo/EZrSJaaEjEAHL/5BteDJjWrO5dO4lnHnmWJTGMMHYGqYUjOIDZRJ70mewYuCNNBk0NGMabqMTd+pIzBp8Z0xPpdvOVj9hS8+mfElx8fgsnfS2DUW1Wx9l6B+XBvauPBdjz5vpshI9uj9roP7JfnTGAKz2Jl5Z24An2Hsi75EMmzYRDY3gNhOqwY/BpA95ms2JDBp4P4riYfv225AVMwaLfi5h4kjCsc0otSGMngQMB5Ki7tvc0Ynd6MdhPfxOxgdNyikAYNG+6OAr1NBAx9KlUdVglWYT5pTep19iU3pGMKZec0OvbTpa/BjNcp+F7BIGJ9KRbMdS2oa3uWfVUrjZhyHWEtX+0FGVTz7pfQVXZ20rboOH1JSMqHPDk4azq2XXKVk5trcVQl8mSRKPnP0Io1NHc+fSO/nVql/RETz+ekGCcKIoipfaujcZkPtTMjIuw2JJAzR8Pv0DxscHPgbghmHR/y8xGUyMTx/PulqReHs4ImD5H7KNTMEUkCiwZGM2WzCEHBicNpJik7A7wvzefBU7HEPxG0IUxU/gP9nXsUzOYaTDjt3WM2ye7oUkV+TcplExoRmjc0/qOvWAZEBCOuTN0A+O1f+BdPrDFNd3YDf37BYtSRK/vDCPTk8MZ/79VX767ptUth3b9FBBvyHsTazA6rWhmiOXEmdn34DDUUBr60rCpg4MDj3JNH7QUPJ+eSV5v76C0LBqNEMIJRQ5beIPGzEZDrOFQOt+CPUEWaPT9IClIxQ9slRz511U3/ZjPCt6Eoy9QR/2zniS+qg064hPYOD4ycQkpZA3dkKvbXwdwYglzb3pf20hMnDgv/qIieIJoQVVTNnRgZgs9/yTTEjovT6L1Byi2emKaHvQhIwJhNQQxW3FvVx58rT4WmgLtB1xhAUgyZbEYzMe449T/siSyiXMWziPDXUbTkAvBeH4tbdvQtMUjEb933V8/ARk2UZj40cAeEIeZuXMwiT3/v+LyRmT2dy4GV/46MoxfBuJgOV/yJRqx5hmx7enFYPBDiYNI3F4FZWWmCTWNiXz4e4Q2XFt1Jt6/ojPH9mzM7AS1j/9+5z6CIursYG3/vRrpHA1bd7oN+ZGTxNoBhJtcTB5PlzzOsz+PQB76vVP77edHfmmceO4aTwwLw2v38zC9Q7m/vPDY36uhuH6m36gX/R+QGNG/wdJNdMw7EWMh6yKCYVCFBcXEztpGMZAHFXvvxNx3cBUJ65ADAcaell2XbUBHh8LC77ffchi0EcsfOHIPqg+H76tWwFwvb+w+/iu8mKMqpkBOdGl9w+6+Gf38/0nnsfaxy7WIb+CMyF6pORQzkwn3uxYnHWduCrceLfpo2D24dGjSnFxcZi6/hamT5/e+/3aLfgTex8V6t+1IWal+/BL20+0/S59KvJIIywHSZLEpQMvZcHFC+gX049bFt3Cwxsexh8+vlFAQfhfs9n0f3sl+x5A01SMRiepqedRW/sWqhqmtL30sH//kzMnE1JDbGkQVW/7IgKW/zHroAQCpW36VIRNQetU2NPpIxxjQW4LUt6ayPfPSuWAqWcEZd6svO7vDUaZjhgDnYqCpmls+fQDKndsRfNtIFwfHam3BlqQ1a69dgwmKDgfzPqS25Vd00HDM6MTXW84YxL7Hvget80x4HKl8PHe7cf0PBOGOf4/e+cdHkd19eF3ZnvTrnqXJdmWZVvuvQLGpnfTS4AASQgklCQkJISekJCPEhIIhNB779UG27j3IjfZkmX1Lu1qe5v5/hhZ0loraeWCHaL3efRYnrkzc3e1O3PuKb/DU6lvYZ/bMxdEp0tmSPA2vAklNNcu6dz+zTff8MYbb7Cz3oE/sRrpoDSRU8aOA2BFSZREtN2fAjKUfAEdjRznvHY2AKOSIw2ycLsTOkJB7Z9/3rl9T6VScj5iSD69IQgCQhRPBoDPE0SWwZZqjLq/O/lXFBJGoPqN3fg6JPn1o3oaLCqVilNOOYXCwkJGjRrVY3/A5yfZa0PdyzUNagOJ+kRqXD11cI4l+9v3Iwoi2XHZAzouw5zBf075D3dMuYO3S97m4k8vPm5zdAb538ZgyMZozCcpaQGCoNwzsrOuxuurpLjs7zR7mxkW37vBkm9V7kO17tpex/yvM2iwHGX0w22EHQFCTV4ksw/RbcQRCiNbFGNDtIqoRTUyArdOSuFnozOxWSJX7EnjEkj2wldf7qOlumPl7G3G2paO0xOpZWL3t6AleuXN6+sq0alFTihI7nW+v5h9EoLo5ecvVlH44DM8tza2ipNa114+SVhGRlLPzsYAQ8/4CUnBM6mW/4OrVumzU1am6HJs3rwZwSaBTxVxjLFDzTccLVnHpXgpkILQVEJYCiNolW2XjT0xYqjK0uUdMZ/c1Wuodq+DkCpAUlrvlUp9Ud9R0pwUJbRzMPp4PcGRCcS1+fCVtyMY1IgaVdSxU6ZM4dJLL0Wr7Vn+uP67pahRkTsm+vsMipflgEfjeGFN7Rryrfm9usP7QhRErhp1FW+f/TYGtYErP7+Sp7Y8RTDa52KQQY4RoZALj6cck7FrARQXN4b09Iv4YreiyzLcNrzX4wVBwKA2DIaE+mDQYDnKaPOsICpVIQIishAmXqNGsmmRbFoumhVHTasdtRjklgsn87urxvc4x48vL8KhkinZ1hxRuaKRtKzevKXz/6FwmEZ/KSZVz5X77rp2ml0BTitKQ+xDvdWo0TGnyI/J1EogoOP/vqwkEIrMlVld/jbnvj2ZX352Gjd+Mg9Zlvh2/xckqEUyrCN7PffIOQ+gCpvZsekOpLCE16t8MVtbWxFMMqI3UkRtd41i0GQmRMnl0HQba07tFEsrMM/okQArGo3oxyjVULYLzgfA4/Jj3JqDlOXsszdRXzTsV0Jsqbm9927qztBLRhAChJDU1RRzoGxoZ198LflDR/Q6ZFLqJNbWrSUkHbq+zpGkxlXD4srFXDLiksM6z1DbUF4941V+MvYn/Hvbv7ny8yvZZz++DLNB/nfRaOIAmeqaLhmJoCQzsvAhSgVlgVHT2rOyszsGtWEw7NkHgwbLUUbUqlAnGwnWukALQkDDKLOeRKOW8PRkfjF1CqJKhSwLvVaaAKgl0GhE/KKymo9Pz8RtaGPLd11aLH9Y/DxBdQ03jL+mx/FNTqW/UGFa/96Aly+/gh1/vIoHLxiK12tl/F9eZFN1V07Ew+v/xj6vnyXNNaxobaLesZ0VLVWcljUZldh7rx+t0UpB1r24jFvZv/pZdDrFk6RWqxHMKlQ+c0QVzx3vbgVg9ogJPU+WMVH5N3E4mJMxaAzIskiGbmzUa2c+9iiZjz6Ced48AL5+T4kTj5oa2SuoqdLJG/evpWRNV3yqcUsju/6xmR1/XsvOp7bSsLEBgNY6JVcmmmhcNNQGNYGOai914sAVbndt38qQ9jR001L6HDcvZx52v52lVUsHfI2jweu7XsesMXPO0HMO+1waUcPPx/+cV894FU/Qw0WfXMQrO1857rtUD/LDZ/fuuwAYPuz3AGx3eihYvo2/lNfzzBnvkapV8fSWf/Z5Dr1KP+hh6YNBg+V7QJtuIljnRrQJqFxxhNsa+KAoi4/G5eJyrCcsaVCL4UgZ+3AQVj8FTSXYnX5MsoC8x0lbeRaiWsv4U84gbZYWU0U6L7z+EftbG/m85j+kq2ZzxbgTe8yhzqFY7UmWvhNEu3P5+Dn84bx4fD4Td36k6ANsqllMqdfHOEvXQ/rTvW8SkAXOG/Gjfs+ZPuYMEv2nUOF5gpyO6pwZM2agitMgSGokj+Lmb2lvpdyhJMMadFE0TsZeDHN+Dec+2blJI6WyrunbqCqx2qws4s44o9MoHDNfKQkOCl3vefXuat56cCmttW7WfbafcDDMjsc2EnizBF21C8EdQl/hIPjOHnbevYrWKieiShiQh0Y9Kgl7SMYd33ebgWhUL9tJi9bBpFk9ezh1Z3TiaGZnzuYv6/6CK9B/+4OjiSvg4r2973FRwUUYNYfoVYpCUVIR75z9DhePuJiH1z/M9V9fT61rMPY/yLGjpvYNANLTFwLwXkMbXknmldpmVKKGi9KyKHba+6x4SzImDeaw9MGgwfI9oMm24K924d5rQ5R07P3bJnT/WMXnm37GRV/+jH8Vb8Af1iEI3XIatr0FX90JH95IfJyOEIrnQVRnEI77OUnjTuLKC84kMKYOz3cWfvnqHSBI/OPUP0adw5ISJb/j5MK+V+cHc8P0mYzOdVJapyIUlnhz+5PYVAL/OetLnpz9WwDeLP0agwjDkqKX/h7MyDl/QpSMpGg/5vTTT2f27NlobTYAmtYtZ/9Lb7Nh83IAHjijl5WzWgcn/xFypnVumpGyAI+4l11Nvcv9HyAtTuko7fB2aXxs/XQ9omhCCjfT3uxl+0PriKt34xoeT84DMxj1p1kM+dNsgjMz0AfCqO1+NJqBfYVyFw5jjSfE3g2NAzqupbWR/OoUWkeFUPfTsVoQBP44/Y+0B9q5f839xzQ09EHpB/hDfi4rvOyIn1uv1vPbqb/lP6f8hypnFRd8fAHv732/h9bOIIN8H0yc+CYA7e2KZ7i6Q8SzNRimoq2EodIuckzJfFT2Ua/nKEosorip+OhP9r+UQYPle6AqzYkgyVhbFK/EGk0potvMumalx4zGtpHfzvNFGixVa5V/azYiBD14jMqfatbNRehlgS8WlSOKIr+88VKarDVMLT+FE5KuYkRy9BLd4moHBo2KBFPsHpYDXDhhJOGQgTe3rqPZayfHaEavjWPu0CvJ1Eg0BvzkGkxo1LGFOXTmBArS78Nj3EZSaBM6nY74gsmEdG2EvtKi3pXOjrU1CEhcMHVezPPMjVOqg4JS/y5VvVFJaPW6/UiSxK5/bWVccxJZai9IHiYZVMS7gzA3m8LrilBrFSNBpRbJO2coST8di1+SSTL1bTwcjEqjYki2hf2VTqRQ7GGMzV8vR0Rk/ILZMY3PMGdw/8z7WbR/EbcuuRV3sKvU2+0P8ccPt3P9SxuO6sM9JIV4bddrnJp3Kqmm1KN2nWnp03j/nPdZMGQB96y6hxsX30i9u/6oXW+QQaJhs05Eq02hvl4xSDTdcgXbmj5GEGBu5nSWVy+PSBgPVFZSdfPNeIu3MyZ5DJXOSuw++/c9/f8KDstg+ctf/oIgCNx6662d23w+HzfddBOJiYmYzWYWLlxIQ0NDn+d5//33OeWUU0hMTEQQBLZ0aGb8EPD563lj/6Od/9+dvZl6sY1adQMVPiUcYRDN3HjKwsgD/d1c+e4mrvr1ZCZeX8j4ohTadQLOauUBpBJVmCcMwRiwcrbtjF7nodeqDvnhdNm4Gej0bfxjyS7sQS/Wbq79K9OszDYHuWvG/QM6Z/q4M0jynkGF5wmc9SVojTYMZxlhRhshnZ3KkIoUkwOT3hTzOS8cPRdZFnl7R/+S7iqViF/jIdAmsfPP67FUKAm0CYKd6bY8MjQC4rwcss/Mi3q8OceCR4L0GBNuu1MwJwNvWKZyZWyu32AoSOJODeWZjcQnxt4n6bS80/jHyf9gXf06LvjoApq9iiDgk0tKeWVNBYt3NRAIH73cj28rv6XGVcNVo646atc4gEVr4YFZD/DkyU+y176X8z86f9DbMsj3iiCoSEiYhdOl9IkbYVTCvrk6SDYp5fzpjrdp87fxXVWXgGXLf57Dtfgbmv75D8YmKTl421sGS/ejccgGy/r163nmmWcYOzYyyfG2227jk08+4Z133mHZsmXU1tZywQUX9Hkut9vN7Nmz+etf/3qo0zluERBxC0Zmzjcz+VQLf06p5t3897h+eNcDPtkYJUzTvYFfXBZZGRZmTFa8J/44NXJbV+7FvIlJvDD1dzy+468EQtG7ferUIuFDvHlr1WrOmWSmoSmFXc3J2LRdRsSJI27iwvggiULrgM87cu4DaIIJbNp8FW2lm0idMp+sc89BDOmpDGnJsfoHdL78xCT04XzW1MXWjyNXq2Lu3jQsTj/+jvcm15RDukYkfGIWWafm9nqsq9ZFGLCmx25QHSB7RjoGlcCeFbEZLBtWfkdyIJ7sk0YP+FqzM2fz5plv0uxt5ovyL3B4gjy1tKxzv9t/9LrDvrLzFSalTmJ04sDnfajMzZrLB+d+wPwh8zu9LVXtVZTZy/o/eJBBDhOdNplAQFkYnKLdzER5HZeE/0NGxkUkJc4jUyszRBvm7T1vdx7j36N0jHcv+45sSzZWnZVtTQPTwfpf4ZAMFpfLxRVXXMGzzz4bIR/ucDh47rnnePTRR5k3bx6TJk3ihRdeYNWqVaxZ03uPhKuuuoq7776b+fPnH8p0jmt0uhQKhTJmi4sQwk6aPEp/mCzJwvzkbJBVJOqj6KIMP0X5d8QZoIoMO+gtWkS/sjKubqrnlm9/ofxuWMPEl2fwyMq3ORirQUMoLCNJh2a0/GjyJABCzpHE622d29PTLgQE9uy5n8qqFwiFeird9obWYmPitDdQy3Fs2XcVLaXKZyRsaqfGbyU/KbpOSV+MtE2mKbQDXyjQ79hxWj02tYD+guFUCF1fharcdvJO711MDqCtXPHIxA8ZuIdFVInk5sVRUeMiHOg/v8S/tokqSyPDRxcN+FoA+bZ8bNIMvtji47HFys3xlpMVPQi3/+jkt2xr2saWpi3fi3flYOK0cTww6wGeOvkp9tr3csYHZ3DeR+dR0d6zu/kggxxJtNok/P4mJCmE6FrHr/grY4Nf4Pc3MHbsv9FoEphlDrGqdhXVzmoA5GBXeEgQBMYnj2dT46Zj9RKOaw7JYLnppps488wzexgYGzduJBgMRmwvLCwkJyeH1auPbBdKv99Pe3t7xM/xylBZRRnDUAf2A7DAfTLvXvI1fz31Q2QkUo1pPQ8avgCuWwznP91jV5xNhzYk09jSwpXvXE1A5eP1Oe9w6+j/Q1B5eXPPiz2OmZgTjwys3tdySK+hKC0LCCNq2hiWMKZzu0qlIy3tfCQpwN69D7Ji5UwkqeeqvcoXYMH6El6rjby+KTGHqfM+QBNMYm/Jnwi47bhSHTSEdQxLHbig29kFJ4Do48Od/TcRc6vc7B9vJ3VaOnPvm06bWYMz38qMn/XfHdpRrYTs4vMGbrAAjDgxi4AE+5f1rUgbDAQY0paKd8ThpZs1VE9l1bYMXly1n9NGpzF7uOLB8w8gj2YgvFXyFpnmTE7MOvGonD8W5mTN4cNzP2RW5iwA3tz95jGbyyD/G1itE5EkLy2ty/D5aoizKBGItra1CIJAUdETjDOE0YlaFlcsBkCdrtz/9UXKgmRK2hS2Nm7t1JYapIsB3wXffPNNNm3axEMPPdRjX319PVqtFltHxccBUlNTqa8/sklwDz30EFartfMnO3tgkt/fJ3G+3+CX9ICS6HnZrAsxGc0U15UjCDLb97vwB6OsdLOngL7nQ9tm1SEicPc7D9Oub+Hxaf9kTH4h100+lSLjhfhp7RG7v3xaDgDvbIjSlycGBEFAULuQQ1amZJ0asW/0qL8xd84GMtIvJhx2UV//Xo/j36hrodjl5dH9PT8HGr2F/Kw7cOtKWL5mMp+IKwFI0Maer3EAbUeJ8Y7G/X2O8/jcWMJGVB3Jt2qdmjF3TWfkT6LruByMvdGDThTQmnuq0cZC+sRkTBqRklV9VzRV7itDI6tJyO+931EsBIIqMpLcPHn5RJ64bAI6tfI++XsJIR4O3pCXxRWLOXfouajEgXvJjiQWrYWn5z/NDWNu4IPSD455mfcgP2zi4sYRb5vO9u0309y8mITEOZjNhbTZO7zHIRc6EaalTWJxpWKw2M4/HwQB20IldWJy2mR8Yd9gC4ooDMhgqaqq4pZbbuG1115Drx+4jsSR5M4778ThcHT+VFUd2oP4aHLAQlaJQXR2L4Wl7wKQl61Us/xz/a8AKG2w8aOnn4s5QdBi0eLWOFijW8SpxvOYMbZLWG1i2mhk0c2uxuqIYzJsBvQakc1V9siThYPw0U2w9pk+r3npk88jh6yMjteQYe2Zk6DR2CgouBcQqKl9q8f+fR4lH6XGH8QexTjLGHcmw833ovWn0d5Rwh3sQ0ivN97e+SWypOFXsy7sc1zplmI0soa4IQM3igCcbX7MhkN/GIuiSN5QK1X1HkLe3sMyDWWVhJHIK+hd2TYWgkEdhVkSZ45NR6sWUXVUMIQPMUTYF0urluIJeTgzv39P1ffFJSMuwR/y82Hph8d6KoP8gBEEkbFjnyYz8wosliIy0i/Gap1Ie7uSk2J3bESnS+PkIaexrWkbDr8Dy8knM2LzJuIvU0r/C+MLMWvMvFXyFkEpSLWzmi/KvyAYHmxFMSCDZePGjTQ2NjJx4kTUajVqtZply5bxxBNPoFarSU1NJRAIYLfbI45raGggLS1K2OMw0Ol0xMXFRfwcT6ysWcmkVydxx7I7aDA3ULh9N/VWpYmfo/qAl0FJVP3t7BTW1mSxY39sYTOzWcvGrK9QhzX8+vSbIvadPHQ8AF+X9ez4mWDS0uY+yM1Y+g1sfhW+uCOyMqkDr9/HmY+8wJqqVManVvHutQ8i9tIMUKXSYTAMwenc0cP46v6/3oIQOdMvZ84ZK/jz1f8GYFXZwBMl5+XORhCDLNm3tc9xCR8qX/4Ro8cN+BoATmcQi+XQvCsHGHlyFiEZyhb33lnZX91OnaEZq9l2yNdp93mQwwbSrQNPED4UPtv3GWOTx5ITl/O9XC8WUk2pLMhdwOu7XyccJWQ5yCBHCrXaQsHwu5g65SMMhixMpgI8nnIkKURb22ps1slMTpuMjMzWJuU+JXZzAKhEFb+e/Gu+3v8189+Zz+nvn84d391x3PUHOxYMyGA5+eSTKS4uZsuWLZ0/kydP5oorruj8XaPR8M03XWWlJSUlVFZWMmPGjCM++eOZl3e+DMAX+7/gjrIHCYa/7tz3ydev4A/Y2eVq55Ih07lq7ukY1T6eWbqBp756N6pSa3cc2mZ2p6zmRPFcEq2RfXbGp+dD2MzK6p45HHq1itDBK+rGnV2/71vCwTy9+GN2NClVTP+4Yi4qVd9ehdSUM5HlINuKb4zYnmtQ9F/StBoS+hE+E0U1pw2vZ3m5Dn9wYH01rhh3IoTNvLnzkz7HNcYrjQvV6oHpqBzA5QsRlzBwTZvupIxJxqoT2bOu97J/Q7MKR/zhSXXXOpT8rkRj13w1HaGzYPjIelhafa2srFnJWflnHdHzHgmuHHklVc4qltcsP9ZTGeR/CJMxH1kO0t6+BadzO4lJJ5FtySbZkMzGho1Rj1lYsJAXT3+RBUMWMDl1MqA0Nf1fZ0AGi8VioaioKOLHZDKRmJhIUVERVquV6667jttvv50lS5awceNGrr32WmbMmMH06dM7z1NYWMgHH3zQ+f/W1la2bNnCzp3Kw7OkpIQtW7Yc8byX75NVtasAOGfoOeRYcige1lX2u71pI6vK38ItCSwYeiFGnZpTC8N8UjKUh5cYuObZ1/AGvFQ01fHvbz6iuqXrgSbLMs+WvYws67jzopt7XFcURPKNM9jl+oYdDZFhsrAs0yPI0l0F1RWpvur2OXl5ncTMnDrevi6d7JRR/b7uvLxfYDAMobl5ES7Xns7tl6YlMESv5aac2JR2r5k9njafhbdX96+p0h2DRkuObjq7nSv6NPw8RSrCSOzftzfqfqfTSWNjdDVav8OPXwLroTYw7EZeQTw1TV78zp4JdsFAgFRXPKqMw7vOllolT2ZEWpdxq1crhqcvePjehvZmL5u+quCzp7bx+ebFyMicmntq/wd+z4xNHsvY5LG8uvPV/gcPMsgRwmhUtJxaWpYBYDYXIggCE1Mnsqmh92qgccnjuGv6XWRbshmZMBK9+timYRwPHHGl28cee4yzzjqLhQsXMnfuXNLS0nj//fcjxpSUlOBwODr///HHHzNhwgTOPFOJeV966aVMmDCBp5/uWSHz34QoiPxp9p8YmxyZyDl11Nl8W/ElJpXI5Eylouq3Z55EnE4pCf6uPIGRd3/LKY+v5s+L1Cx86muqWxTj7bYvnqYq9A1jrWeQaIkeBnvitN8iIPKzL38bEZpxeIMYdQd5FKxZXb8XRuYcfLl5BW1+C3ecPoOpwyfG9ppFDePGPgfAnj1dWjN5Rh1rZ4zihuwoJdxRmD5iEqOT63nqu1bC4YE9VM8tOANJ1cane3qvFJp00lxUiOzftbvHPkmSePHFF3n66adpbe2pL9O2T/nsWjt6IR0OhQtyCAN7v+5Zcru/bC8aWU1SfmbPA4FgQyN1f7wbf2lpn9corm0EwkzKzO3cplErpuvhCsd52gO885cNrP6gjOqSNhre1jHeMJkEfcJhnfdoceXIK1lbv5Y9bXv6HzzIIEcAnS4dUTQgy2EEQUtL87eA0lV9e8t2PEFPn8fvbNnJqMT+F4v/Cxy2wbJ06VIef/zxzv/r9XqefPJJWltbcbvdvP/++z3yV2RZ5pprrun8/zXXXIMsyz1+7r333sOd3jFjVuaszpJOAYGi/RJnrpNAljGkpbOmuYxpiUM6qyjS4pNZ+4dz2fPAgs5znDWiiteuSSEQUnPK4yv5xUuvsKT2QwD+ecZver32EFsqVw//LXaK+dVXTwEQCks4PEGGJh2UxzD8VDClKP9aIv9OpU0OdCo/Y3JGDui1m0x5GI35tNnXHbLS6O0v/okdTWm06LbyzxVL+x2/fu966toUIbarxp2IKOn524Zb2NsQ3f2vNxiRkPD5e4ac2traaGlpQZIkSkpKeuy3Vyn9hxLyBl52fTCJBfHEG1SUbuzpzakvrSCMxLAR0W9WLf/5D/Z33qHx0cf6vMaeRgcqXRup3cQI/UHFUDlQLXSofPem8uC/+qGZXHHvNAgLDNs787DOeTSZP2Q+KcYUXtv12rGeyiD/IwiCgE6XikyY1NQzaGj8DIApqVMISSG2NG3p9VhfyEepvXTQYOlgsJfQUcKms2H32wGwqs386n2Jq7+ReEy6lvFFydQHZeYPOT3iGINWh1ajJcngoDChkv+76pfMKpzCmz+ZSKLBzSe7EgirmpidcA02Q98JlL+afS5J0kl8Xfcflpdv59vdjcjASSMPCsmYEuG2HXBZT42KeoePJINrQN2ID5CYeAIQxuPpe/Ufjca2/by/ezx6jR1dylc8X/67fo9pr7qUnZvn8PHK/2NL6dfMNKbglrws/PJGrvzwJLbULosYLwgCISGMSur52tzuLvG7RYsW9dhvr3OjAkxHICQEMHRkAnWtfrytkcaTv7qdemMLZpMl6nG+XUoI1fXtt32ef3+zhwRLsLNTNYCvo5xZrzn0Sqd9m5so29TI3EsLMMfrMcfrCac5UXkPL7fnaKIRNVxWeBmf7fuMNl/bsZ7OIP8jGA05VFb+h8bGLzt7xuXb8jFrzOxs2dnrcXva9hCWw9+rWvTxzKDBcpSwaq20B5Rkx8vjTsbUoTI/YmslX5W9jUaAecMuj3rsst+ex+e//mnnA2ZE5giW//5HzBrSihS0UePo350tCAJvXfgn1FISN317Ey+tU7LRL5gQJbyg1sJBlT+yLFPT5sJmODTxooR4ZZXd3LKsn5E9eWftagQkrpuvAUASfKyu7P1L3R2N5z946n/Jhcm7+X2ywC2Fp1HrbuHWJTfj80eGdwJiCFW4Z+m0VttV/TNhwoQe+9tbfJh0Yq/VUgdTtWMbtXt6hp4OUHjaECRgz1eRYSFTsxpXYu/vv+zrv3WBLMu0tuvITYpsTOnyKblLloNDhDHiaPKy5LXd5I1LYtikLiNYpRMgcGy1V/rjwuFKyfu7e949xjMZ5H+F4cP/gFabhM02hYKCewAlZaAgvoCS1p5e3APsaNmBWlQzPH749zXV45pBg+UooVPpOnVYkoWuFbLrq69Z1bCNsXEJmLTRQwomvTHqw/DBhSeQoJLRamMr902xWHjh9GeQhQAbna9i0qpItsSWuPX6iq9YV5vHpOxDWy3HdxgsDsfAJKZlWebjYjfj01vY2LwRQnEQsvCXVf/u8zh30ESDfC0nnrCN9OGfkj3iE85dsJHrpv0fj817itaQzGOrb404JiSEEKN4WJKSktBoFGMpmsHidASwmDQxvR5nazNv3/973r7vd/g90dsWWHPiSDKrKd3S1LnN6/OQ5k5Ek9F7now6VemArBvRu0bL2soywsE4Zg+NFJ5zdkjyW/SxvY6DWfNRGWqtyElXFUZ4bsKEUHF8Gyw2vY2z8s/izd1vRnTNHWSQo4XJNIzZs9YwYfyL2KyTOrePTBzJ7tbeFzM7W3Yy3DYcrerwJBR+KAwaLEcJjUpDQOoQjuvWYdd4y/WUejyc0CEXPhDyUnKYmmHBLcXeaHBCRj5zki5HHbcVgyl2Wf6lJTXkWpu476IrBzxPAJVKjyjqcLsHFhLaUbmFkpZ0Fk7MZE/7elLVk5gYfzZl3mWUtfReNRaQDIS8azFotYzKHklB5ig0auVLPi59Nhdnj+eNik0s3quUm8uyjCiLCHJPD4tarebyyy/nnHPOISurKym5fXk13v0O6h0BXDE2DawtUW5G4VCIim09tXEOMLQokQZHAFeDkoBXuncXGtSkDOtdwTnu9NMj/o3Gh9t3ARILD2pS6uzwsJj1A/ewtNa5Kd3YyKTTcjEcpPQr+QVk7dHpT3QkuWLkFTR6G1m0v2fIb5BBjgZCFCHM4bbhVLRX4AtFl2/Y0bJjMH+lG4MGy1FCK2o7PSzqlGT0o0eDWs2abCUx9JSCQ2sK5wq6MKgGtiq+56SrkQOJuC09FWh7o7RZS0GyP+qXLFZEUUc4HJuGSHFFCb974yWufL4Eo8bLuZPnEBBaGJVUwP0nXQ8I3LP02V6PdzKXZN1egr1Izf927n8YZTbzx7X/R7V9Ny019cSFTaizoueh5OXlMXFiV2WUFJJo/6yc5n8poTWHO7aHst/TJca3Z+2qXscVnjoEGdjz1X4AGsuqCBMmf3hhr8dYzzqTYUuXkPjTn/Q6Zm2ZHaO5iSxrYsT2VpcfrVrEpB24N2T9Z+WY43WMnJHeY58cEBC0R14990gzPH4409KnDSbfDnJMybXmIiNT5eyp1O4Nedln38fopMH8lQMMGixHCa1K2ymlLAgCOc8/x9BPP+Hr8GbyDHoyrQOrvAHFK7DP1cxw68D6JqVa4jgl6yJUxgo8gdiE2Nr9OhKNh+4uD4e9hEIu1Or+FYif/PJNzv5XKZ/sNDI3380b143mgGCMXq1mSHwyBcZ5bHF8RqPT2eP4DWWbydG9T7N/KBp19AewRq3n8QUvoUbml4uuobxK0V/JGJIb0+vx77MDyt9yolG5RsO2pj6O6Ji/qSukUzhzbq/jzOlmUuM0lG1TvGChGjcNpja0+r5Dcpq0tF6NSkmSqWw0Miyjp3HV5PKTbNYN2CBtqnRSurGRyafnotJEv33IR6ef4hHnqpFXsa15W6fa6CCDfN8UxBegFtRsaNjQY19JawlhOTzoYenGoMFylNCqtBHxcZXVSjgzmS2OJmamFh3SOb/Z8zyNQYmxKZP6H3wQ41OLEASJ1VU7YhoflgUOoTiok7J9jwISuUN+1ue491a9wyPLjJxV2Mz6u87giauvY1zuSD7dtRlBkJiVo4Qy/jj3pyB6uPvbFyOOb3XacVQoSZQFw37d57XS4kbw5xl3UOZx8eb2FwBINsWmC+MvUSpKVAl6MjUCOgE2f9S/VHZm4WgEUUSj05NT1HdjxWHjkmh0BWmvdmFrNuBOPrzQyop9+wmH9Jw8IqvHvsZ2P8mWgeUnBXwhvn5uB4kZZgqjeFcAzCkaxBYjLl/0fJ3jiTlZc8ix5PDazkEvyyDHBovWwpS0KXxb2bPSb2fLTjSihuG2wYTbAwwaLEcJjdiVw3KAZfveIiDDKfl9N+aLhizL/GXj3ykwWbio6LYBHz8rpwhZFlhfF6PBIgloxEMPB9XXf4hKZSYt7exexzyz6EN++6mGKVlOHr/qKoy6rlLtdXVbkWWBBcPGAzAhfTjZ2hmsbH4Xu7crzPTt1ncAaAyfxZSCE/qd15yhV/HjobNw+JUKG0mMLXzhr3SCAKm3TyLxohGMLEqkvMaNu6HvB7PJFs+l9z3MJff9Fa2h7zLoEaflIgDFn+wh3ZuINufw+mO9u20bCAEuGze9x74m18ANljUf7sNl93PaT4pQ9aLfctK8SeiCRv7xh09ZsW5gCdffN6IgcvnIy/m64mvq3f+9qtqD/HczL2ceG+o34PA7IrbvaNnB8PjBhNvuDBosRwmNqEGSJULdpO+/2f8ZSWqBcZm9J0n2Rr1jBw1BmYsKFqI9BInmvMR4CFvY19Z/V+ut5btwBgykxEXX/4iFUKi9U5L6YDx+Nzc+/zwPfaNhwbBmXrrhYtQHuXPKHCVowmkYNV0P+T/MugnUrdz3bdeK2OMqxhm0cdmCv8dcZvyLmU8xvCNU42/pvY9Pd8ItXkSTBlEtYpqcyviLhgGw5Z3o0v7dySgoJDVvaL/jDIkG0uO1VOxwICKSWZAf09x6Y+0+BzZbMynmnqqzTU4/KQMwWJqrXWxfVs20s/OwpfZueBUVDmPsdXGIKoHl7+w5ZOHA74vzhp2HQW3grZLY87sGGeRIsmCIIhb6SVlk/7OdLTsH9VcOYtBgOUocsIoPhIUkSWJNcylTk3IRxZ55FvZgiLM27uHx/dFXehtqlGqGyZkLou7vD5UooJETqXXV9jv2w40bMKq9XHPSRYd0rXDYiyyHMBh6duvdUVnM2Y+/xaLSBO482ctT116HXtszibjF34RZHSlyN3vIWFJVE/mm7g08gY78oFA5rlD08ERviKKKn55/N05TPe63Swh5+87rkWUZyRNCndylZWJKMZGXaWL3rjZC/iNXFTNsQgptIZkW2Ud23qEbLJ5AkMaWOMYNiW7cNjpj97DIsszKd/diTTEy5qSe4aWDOXHydEbMTyTOmUJFbc2A5v19Y9KYOG/Yebyz551eKzUGGeRokmhIZEHuAp7a8hT77EqY2RP0sM+xbzB/5SAGDZajxAGD5UCl0OqK97CHJBbknx91/MeNdja0e3isooFAlKZ9Wxs2YhIF8hP6zoPoizh1Cq3+/j0KGyr9jE5xYNAZou93uHmuuqnX1bPdsZFwUIfJOIJwOExpfRUfbVjFPe+8wfnPlOIK6Hj12qH8dMGFUZM+W9xu2qV9pBp6itzdMf3nyJpGHlzyFrur95Jh3IlKH1ufo+7YbFmkXpGH6DFS/fLnfXoCAtVKpY92SGSIZsK5+fjCMrtiyGWJleGnDkFEZrts77czdl+8v30Tsqzh3KKeGi1hSaYlxpBQOCSx5JXdVO9uY9aFw2JWPR4xPBeADdtjC0EeS7QqLd6gd1CTZZBjxh+n/5FUUyo3LLqB0947jTM/OBNJlgYNloMYNFiOEhpR8RocuAm+XfxPbCqZE/OviDq+zKvkVPglmU3tPZthbWnZyzCz9bDKjFMMabilvitbvH4PJc2JTMmNLlgmyzLXbS/nD3trWNLas2IHoKWuhr0f/p0P/lbI2b9ZxPzHt3HLu228s1XN/GF2Fv3qXKYPH9PrHH726V+RRRe/nnF1j32nDJtGgjiKzypfY+X6nwIwq+iSPl9TbyTkT4b5bajLk6n/qnd5e8eKSgAMIyNLg1PHJpMap6F4VV2fnaEHgt6qw2tsphxH/4P74LPtZYgqD2cV9hS+a3UHkGRI6RARbHb5eXzxHp5aWkpYUgy37/Y00e4Lsuj5HZSsqefEK0aQOyapx7l6Y8SQPNotjexZ0X8l1bGkydPEa7te49qia7FoDz0EOsggh4NFa+Hp+U+TbkqnxlVDs7cZgCGWIcd4ZscXh6bLPUi/aMUuD4ujpYnVzR5O90xF3VsCVbcFfvig1f6S0tcp8Xj4w7hzY7q2b/duAlVVxC2IDB9lx2Wyy2snEAqiVUfXcllfWkxA0jKrIHrpdI0/SENACYG8WtvCvMSeiaH2WhXIKnyixBSfmp9cKlKUlcmQ5Bw0mr4fCiVNtezyfswU20VMz46+urhl8s+4Z90vcWv8tIYmkpN66HHe7BMvorTyWfTLCnAMKcE6sqdHon5XOQlY0WT1NOLGnpTFoo/KqV5VR87s6F2VB0ooOYja1XevqP4orgqSnuyL+nfeWm0HYFedg6l5Cdz1wXa+3KGEIpeVNGEzavhqRwN6tcjNzVoWXDuaEdPSepynL0RRRLYGUAeO74TBV3e9SlgKc1nhZcd6KoP8j5NqSuXJeU8y+63ZpBnTaPQ2Mu+deQy3DeeREx8h1ZR6rKd4zBn0sBwmrl7yFzSqLg/LXZ/9Hq/Kx+mNZ+Dz9OzKC5BrVNzzGkFgsrXrYSVJEn/b+Aj5Bh0Xje29Q/MB5HCYyhtuoOYXv8RbXByxb4g1C0GQ2NPSe15Bg1MJYeUmRW8b4Ap3CbN93hzdC9Ba50atc5MxO40USWRm3iyGZYzuaayEQ/DhTbDy752bvtyzHkEIc9OU3h8g5xeeiJUUFjvVpKVf3Ou4WBAEgdxLL8WfUIn9rX0E7JFeo5raSuICyt9DiFI1NWzBEMwakS1fVvTYd6hozCKi79Ak8wFKm5twOZOYW9Az2RZg6W7lM/joor2Mu+9rvtxRz63zh3PfOaNZW97KVzuUsKEvJNGQqWP4lEO7UQouDSrL8SvKEgwH+WDvBywsWEiiIbH/AwYZ5ChSZi/jtd1KQcHDJzzM62e+jifkYWvzVi7+9GJe2/Vap7ZXNMJS+LhPcj9cBg2Ww6Cq1UPRPV9x46sbO13pBziQw+Jw21kqr2GBNIOsQCptm7dEPdfZyTZGmPTcmJ2Mrlu1y7Ob/0KVL8Avxv8Uldj/QyxYVUW4SXEnOj76OGLfsHjFa7K7qfeHqywrBpjUy+c+SdM1h1/lRn+QORrBmODkxLnZyMi8+0EvzRrLl8KWV2HR3eBVdE4SjIpR4/L3ngApCAI/KphGeUBFTnrvfXRiRaOLI/nKSchymNoXvkEOd7348m07UXc4IqPdDES1yOhJyVQ1+2grsx/2XAAMcRo0/uj5Q7Hw3Nr1QJhrpk6Oun9vowtBgE9/MZsrp+dw/ew8bjppGFfPzOWPZ43ihjl5xOnVqAWBT9xODiUKGZbC6J1WDEnHb1+hNXVraPO3cVHBoSWXDzLIkSIoBbn6y6v519Z/MSJ+BGOTxjI6cTSn5p4KwFDbUB5e/zALP1lImb1nL7lNDZuY+9Zczv3oXDzBnikFPxQGDZbDwBtUvA1fbK/nhZXlEfsOhIT+sPQBAK6cfB2BhDq866O3tE/Sqlk2tZDfH9Sk7unitxntGcoJuT3zOaIR7qYE2/bqqxH7CpOVeOg+R3XUY0PhMP9eXoFF6ybBEj0EkKRVM95iRADOSLZFHeNq1hOXIpGXZcWbocezpRWfL4onqrFb0689XwOQbFI8Ow2urvep9dXXaPnPfyIOLcqYAkCz98h4Nqzpo9GcFULVaKP2/a87t7tr2nCoXH0cCWMWDkcjwOb3B9Y3qTcscQa0IQMb7vmYJY+9ycolA+t3s2RXG2ZrPSOSolf01Nq9mLRqijKtPHjeGO46axSajmTa62bn8YczR7H1nlP43ZQ87Eg0tMbWXqE7W0p3og3rGZrXf1XRsWJRxSJy43IpiC841lMZ5H8dGZwBJz8f93NeOeMVVB2VpAuHLwRgatpU3j7rbVSCiss+u4wPSz/sPLSivYJbl9yKWlRT7iinpK337s//7QwaLIfB0GQzSR3N315YuT/Cy9JgV5al+wPKh6cgfxSaCWq09Rl4m2IXqbpfdwX/V/Er1j/8MbUN/WuoqGy2zt8Tf/rTiH3ZNitSyExlLwbLhtKtlLYm8+ez4zHpe881eX1cPt9MGcFoc08vQDDoxdceT0KGEkaZec5QDJLAd0uiGBbdqzLcSnLmlKxCZEnFpobtyvnq62l48EEa/+8R/KVdBkGuTamWqrb33ul0oGROOQ//xBLkjUZaN24DQN0s06RWjCeZ6G4nnUXLsKFWSve142/3H/Y8DniZ3OEgce0Gsr/SUlURWyVSq9tHfbOFKfm95460uAMkmPrOLREEgcSOz3arK/bXJMsyL7z+EUue2EdA5WXWlJ5Jv8cLq+tWc2L2iYeVyD7IIEcCjUrDuORx7GjZgUHddV+VOvpcaFVaRiSM4MXTXuTU3FP548o/cu+qe/njyj9y5edXYtPbePl0pbFrizf2Jrf/bQwaLIeBShRQd4RvauxeHl/cFfp4dYWL+Nbfktl4BsH9P6GqPkDytDnIQoimNb03wTuY0UHF45LssdH+j118+uRLfPruG0jh6LkBmsxMNB0dhuPOiBSo06pFVOEE6tyKFsuq/XuZ/sJFnPXar6mxOyhtUHJbpg4f1+ecEjRqRkUxVgAaKstAUpOSpWijTBuTQrNapnhtFCOte0+kUUpCcaLRBAi4/Yox49vdZZA4Pvqo8/dUSy4iUOPc3+dcB0ru+VfhzdiN64MG/G1tGIJafGLHA7uP8PCEC4cRkqH43cP3soxKVkTpck6ZxMg75uMV/exZ0Xun5+68uG4DoOKqKb2Xv3sDYbLi+w85HRDzCwZjz0PZXrwPz3cWvMktzL0xF7Opb3XfY0Wzt5l6d/1gY7lBjgtqXbVsbtzMsuplEdtX1KwAYG6m0ofMqrNy/8z7+fm4n7OxYSO7W3dzRt4ZvHTaS2RbshEFkVZf6/c+/++LQYPlMCnKjGPm0ETuOG0E//i2lPX7W5FlmY0VrZxXNJX3f3Ifyb5h3Pf6FrTmRIKp9Ygrkwl5+w4zHEB2yQRSamk+XUCUBMZX5TN+QxarHnqXlraeJaOCKJLz/HPkvPwS+hE98zsSddmUuJZzzmu/5WeLb8QtlFIRXMxp753JvSuKSTe1kmKNrb9ONOr3K56U9DzloatWiaRNSERf7+ezrw/yEgybD3FZyr82xXixe10IYohEg015/f6u9gaezV0PbZWoIl6jps51ZIXJ1Goj6VfMQ0ai6uXFpLsT8Rn7F4aLz7WSlaRnx+YmpNDhJZrGpylhsYA9jNFgojHOjtAUm0bIx9sq0BlrOTFvPHha4fnTYfVTnfsrW93IQEFq9LL17mg0AzdYvv1uPW6dg9vvvIRJRcevMbCtSfGgjU8ef2wnMsggwBu73wAgNy43Ynu5Q0k1uGvlXZ3bBEHgxvE38sn5n/DO2e9w57Q7idfHIwoiGlHzg9YTGjRYDhO7J0iaVc/P5g5lbJaVez/eQUWLhzZPkPHZVoxWPb+alc8at49tWxswTVY8D/aSbbFdwKNCMMnMmHMyab+fgvn3oymd0kauK52N734T9RBtTg6mqVOj7nv+7PsoNM1nX+ArZJWDf57wIs+PfATUDgyZb3DayMBhuchbatpQ61zEJXRpdtxw7Vha9LD168rIxFWDDW7dBle827lpv11JGE4xxQOgSe1Su006KMQVlsKoVEd+BW9OHIowxY2+Lg2VLBI3TJlDfxn440/PxRWUKF1UeVjXN6Yo3g+PXfHseM0hDO7+E67tXg8V9SamDNUiCiJsfw8qV8GSP4Gk5FutKVNWXxNy4vs9n1ajxNEDwXA/I7vwNoeREj2YtIdXln202da0jWRDMqnGwVLRQY49O1p2sGDIAj4676OI7Y+c8AgZpgx2tOyIyXOiFtUR7WB+aAwaLIdJs8tPklmHKArcd85odta1c/5TK9GoBCZkKw+F0xYMRQVs2NWIYFYeerr42G6Ugk+DqFeqVOLMNmxxCZy48Bz2jG5keFkqtU3R81F6Iy8hlXcvfphvL1rC0ou/5YS8cXje6+rNc3rDpwM638HYG0IYEyO9R6IoYhptw+qS2LarOfIAUUX3MpSSpv0A5NoUTRP96NFohuSgTknBOKmrS3WdYzf2sMzoo7RC1s8ejddaRtmMzWiitA6IRtaMNOINKrYt6T/XqC/UahUaETwOxbukStKT5Lbi9/ad/Pqv1UuRZQ0/m9nR7LC5o89RwAX1Son79lqlFH1qbvSS5+5oNMrfJTAADwt+FSrD8V9aua15G2OTxw7mrwxyXFDlrCI3LldZaHTDpDVxz4x7AHhm6zP9nmfQYBmkV2RZps7hIy1OUQydkBPPL04aRpsnyNUzconvSGyUwxIyoNaoUOsVI8bn6D/xVpYl1F4rqigS6mNOnYkGNRWbdx3S3FPM8SSalOTOnQ4lMfiClRLjm76DPmr9+8PVosea0nP7rElKLs6KFX0bWBvrdiLLKmbmjARA0GjIf/998j//DNHY5U3ZXLsYgPHpJx3yXPucR83r7J/6AIUnxt6oUhRFxsxMp6E9SMO2w1N4NahFvC7l7zB0+lh0koYVn3/Z5zHvbqjHbG5ldl5HKFDuZmh03MT2NyvdpdNt/eewaNSKhyU0gBCXHOawWgp8H4SlMNubtzM2+dDbXAwyyJFClmXa/e1YddG1r2ZmzsSkMfHJvk+i7u+OWlATkAL9jvtvZdBgOQxa3AH8IamzvBng9lNGsPWeU7jrrC6V1k3FDUjA+PwEbMPHEtK34fy0jpqvPutT0t3X1ogY1qNO6Rn2SExOpVJfT+oSFX7f4TVta9b60QVkLvlOQkuI8q39fzGi4fc78bUnkJDRU/126vgUvKKMoyK6nP8BdrfuRR1OJd7Y9UAVTSZU5sici+2NG9ELkJ848D5CseD0VOOXBdKtIxiIEMnIc/LRqwQ2H2Z/Ib1OhdetGCy5ucMoTavDuKv3z8ryfaW0tKZy3qRu7318rvKvWg/pSiJ1fbsPnTq2r31XSCh2gyWk94Hn+DZYSu2leENexiT13h5ikEG+L8rsZXhCHlKMUVZ6HczMmIkz4GRn884+zxWvj6fNF10644fAoMFyGFS0KKvVUQc9oK2GyBDC8u0NxCFQNCYVUSXCOC/a9lTkJXE49mzv9fyu/UrFiTGnp+S7KIhoFqSilTWsfO/zw3odVZYQNjeQoljmb67vva9OX9RX7gFJTWp2z+7JoihiHBuPqSWIvY/S3/LAYsLq/jtKl9j3McRo6dQrONIIyMhEGiq9lTV3R61TUzgqnvIaN64G9yFfX29Q4+2mXSOnaUn0xPWaR/Pnr1ehUrv49Yknd20sWgjxeTD959ChvNzqDmDSxdaRQ6sdeNKtNk4g2B7z8GPCuvp1aEQNoxOP36TgQf53eGnHSwB8VPpRr2PyrUrn9r7udw3uBjxBDw7/4fUhO54ZNFgOg7Im5YE0Pa9vWe/SRhdpCDz/yrdIL55Nnb2BP6o9lBAm0Ny7NeyprUEWQpgzhkfdP2XWXOpMLVj3qAiFDj1uuScthNEHafluajHxun4Zf/nubwM+T2OFEu5Jz48+35NOzkWNwFeLlcz3xd/s48NPu0SOXlq/HACt0H/C5gZ7K2pV/92GDwVZlnE7i/GgP2hHbMePu1ARItv6zt5DnoPBpMYX6DIU1Al6jJIet7Onh6qirYVdFXFMK/RjM3TzRMWlwy1bYP49nZtc/hAJxthycjQdnphgKPakW0O8Bq3n+E64XVyxmBkZMzBqjs+S60H+dwhLYWo7ZCb2OXr3yrYHlFVAvD56svy2pm1c+MmFhOQQPxr9oyM/0eOEQYPlMCipd5KTYMSg7XuVX+sJsAcJ5743Efd/R0b5P1gSCnEHHnw1Db0eF27yETI7ENW9n99yfh6p/gQ2rvjukF+HMy4VT5JIaXYOf5UuAOC18pcHfJ7mGjtqvQuztWdICGDk8AQceijb1ERNTTvXL9rFrSsUL5Isyzz6TQkhzxDidH3nVzR6GpGASs/RWcqv3/cS2apWUjOuPKTjzalG8jJN7N7VRiiawm8MGCxafN08G3n5ihF08ys3MOalyFDGda9/giDI3HdaZLPLaPiDEslx+n7HAWg7PtfBAeSwSEIYgeM3kbXZ28zmxs3Mz5l/rKcyyCB8uf9L1tWvAyIF32RZxrl4McG6OkBRwQU681zCDgfVv7yF9kWKCvYnZZ+gFbW8e/a7P2jP4aDBchgUVzsYkxU9Uao73mCYtJDAZK0dgCFiIxY8JCMgbkmhflUvIZhWHbKt78qQwqJx1BmaCaw8tCRPX8hHQGikQSPTpPXz7dAu4aKS5q0DOpejIYQpse8wiHW4FWNzgPK6Lk+BzxPkpU3LcdjTsRhkWv2thKXoq/p3St7htPdOA6AgbmAdhGOlvOol6kNa5hT++pDPMebMXHxhmapl/VdxSSGJ0o0NOLtJ4BtMGoIyhDvyo3w+xQj8UdPZEce6/X7KauKYNcrL8KSeobjuNDp9yEBuYmweEO0BHZaBGCwhGUk8fhserq5djYzMidknHuupDPI/TlV7Fb9b/jtsOhvnDD2HgBSg0a00JnUtXUr1zb+g5rbbATr7Ax1o+WJ//wOcX39N41/+CsDWpq00ehspd5T/oBsgDhosh8G6DpG4CEq/gU9uAX9XaW85ElpZoME5m5Jvk9i7IR41IU7PTyKYVk/gUxlPfWTeRjgURN2aiCqj/3yDZJ+NPGcGZSUDrxj6Yl9Xn5oqS2Sd//Ob/zqgc7lajFhT+/Y2nXByLhoEnn2/S8FWo1Xx5LdlGIxt3DrtCiRZ4rVdr/U49h+b/8H9a+7vFEa6urD3js6HitvfRly4EsxTesSLZWJ/EKeNSUYAmsv6jye/8cA6vnp2B2//eUNnEnZzpROTRkTsCMu8+JZSllzgG8KFJcN598FH2Fa1hX+vW4Is6bhiSv8JpKvLlJLycTEY2dDNwzKAHBbZJxLWHH57gqPFtqZt5Mbl9upaH2SQo4kn6KHBrXjVd7cp98D7Zt7HvOx5gOJxAfCsWQuAd8sWwi4XrqALAaGzDN+/Vwk3B2tqCDU3d4Y3r/7yan617Fff3wv6nhk0WA6RUIc0/rgsW+SOz34FG1+ErYpy4cefKh8sQ6iBekcGwWYToVIDGso5Z04emdedTFjnouHt5RHGT8PKbxDDeszDh/Q7F+9ViqZG6PVqtm1bP6CqoTdKXgEgx69jh7arv0yuIY7FdcXYvbHJPHs9zfjbE0lMjwwHybIc8bqKChNx6MDi7PKgrK4qpaklhfMmW7hkxCWoBTVv7n4z4jx7Wvfw7LZnSdAn8LOCBYjIzM7ru8uuLMt82eSg2hd7md+K0mfQCjB1aJdI3aFodag0Iha9itbGnp1Tu1eG1e+zY2/wIIgCPleQz58qRpZlahs8ZGSaOq/94+uUaigfXn4c+gXTXVNJeNLJjs8E9Bo7pxUU9TunlR2icSeMiE3J+IDBEuqlDUQ05DBIquPXw9Lia+mzGmOQQY4md6+6m/nvzudHX/yI25cq3pOTsk9iTtYcAFbVKm1bwu1d4e7A/gp8IV+ERosc7JKekLxenl3wLAuGKCHhRRWLOnsQ/dAYNFgOkeo2xX0/OqPbatXvgraOrs0dSautHRUx41uXEvauIqBVtE9Ocr5G3sgkdOZkdPN1aGoz2P/K6/gcDbjq9iF9YUJGJn7k5H7nMnLUOPaNb8Pk15Pwuo/Nj3xOwB/bKrferejBVOr8LDUZ0YQUg+PBGfcRlmVe3Rqbl6W+ci/IalKGdFU0Bf0+Xrz9Rt5/6J4Io8WYa2JoUIW6Y9Pdn65GVHm4c94CVKKKiakTqXJVUetUvE4V7RVc9pniTXlm/jM4/C1YVCIadd9Jt9+0Orlmezk/2bE/ptcAUFP/Ga2SgeGps2I+pjds8Trsjkhjafnbe/jXz5fy0p0rcbZ6Wf2hkmh39UMzSRtqpWJ7C1//cyvukMyQsV1qwcNyFY+AHgP+bYox50dmBSHmq1UxGVU7ahyoRYF0a/8aLABa9YEcloG4mGU4jl3SJa0lDLMNO9bTGOR/kFU1q/hq/1dkW7I7W0OcO/RcBEFAq9Ji0VrY06b0o1PFdTWf1Q7JISyHI77jmgxF10o0m9FkZaFRaXj0xEd5/tTnAfjV0l/xXfWh5zUerwwaLIfIvmYl5JOf3C0fINTNSHApbr+Z05QHuEttRgqWEe6obJG7PV/SZpyCNL0B1e5UGh/eRstTyodWd4GglEHHwJxLzsb402FUnO4j1RXPsn+/Rzjcd3WHJEnY/XYsGhtWirhoyG9Yf+13rL98I+Oy5zPNFs97+xb1mk/SnYZKpadPRu7Qzm0VxVtpra1m/9ZN2LuFvEYnatAioOt4ru2rSeKMSRCnV9yav56s5I78ae2fALhx8Y0EpSB/P+nvFCYW0uptJU7df6XLijYlT2ZTuwdHsP/kV3/IQ7JcizbuoLYGHX8rXz9KsweTkGrE4Qt39hYKeENsX6q8T642PztX1tFW50Zv1mCy6jj/VxOIS9JTukPxhAyZnRFxPpVGaYQmaJVKoPWE8AE3X3IysVDV6unswBwLKlF54cEBeFji4syovXpC4eNPbXO/Yz+VzkompU7qf/AggxxhVtWuwqaz8dn5n/HNRd+w/or1PDj7wc79edY8WrwtyLKMcdo0APTjxqKyWLBoLYSkUKd3Nu6MMxAMBmwLF0YYMpNSJ3F54eUsrlzM39YPvNLzeGfQYDlEfve2YiHbNN3yHAw2ONAafPZtAORlWdBIQexqxRMjdSRNTZ3bFXIQRZGc8y4kbmEGYliPoBFJ+u0IUqbOiXk+giCQkJfOrBMW0DBPoqAmk6VPv9trV2eA1XVKAuI1RVex4uo3uPvEH6ESVeg1yhyvHHUNzcEgn5e80O/1W2sdqA1ujHFdpaLtTV0VULtXKtZ++dJq9q5qIyCEcHcz2h4557zO30cmjmRI3BCW1yxnV8suqpxVzMqcxUk5iqptW8CJVdt/pYujWzlumadvj1NYCvJ18b0YRUhLjqy2saYqno6q8rJ+r9mdxCEWgjI4q5y01Lh47jfLkSSZKWfmAuBs8eJ1BvF1KNqKosgld0/FqhNJ1whoDyo/DgdnA6AbdR4AWwmRKoiMGJFEf8iyjNMXYmhy/00PD6DuMFgGonSbkGlEHzJTXjuwlhHfB99UfoNBbeCE7BOO9VQG+R9kePxwHD4HS6uWkmhIRK+OvIdNSZ2ChMT25u2YTzqJzMcfI+vRR5V9aVMA5TMMoB9RQMHaNaT87rcR5xAFkTun3clN42+iylkV02Lzv4lBg+UQudGmhE7WrOl2YxZViliXqIZR5wKg0amJD3tx69Iwa3MpSwmyZ1ohk6aczauvvkpbW5cOizqkuP0TzxmPPv7Q4+zTF5xM1UleRlRlsO2RL3vNGv+s/DNAcUtGY/awa8jXq3l110v9XtPRIGFOjMzXEMSuj5e+Q6l207t7kREQtHau1q/HaFvLyYXb0B3kMbljyh3IyFz86cUA3Dbxts599oAHm9ZCf8R1KwfPN/YdPnpjxQUY294DoCjzjIh9RpPiRRtopCM+Uznu02eKefOBdUghmZGz0pl6tiIC5WnvikMvfV3Ro9Fq1cw6OZupJjXeli6PjiuK2N4eJEaa9bGFg2rbkYHx2baY5y+KAsgDy2Gp2NqGy9hKbnpWzMd8X6yrX8fE1InojpJ+zyCD9MUo+3R+uuZxihfVIfn9lF90MTW33965/7Q8pfrxq4qvEASBuNNOQ5OpeOgvG6GExP+5oqufkKjVRv3uf1PxDf/a+i/m5cw7asKax4rDMlj+8pe/IAgCt956a+c2n8/HTTfdRGJiImazmYULF9LQ0LvWCCirv7vvvpv09HQMBgPz589n795DF936PjjTbEQH7K47SAvknCfgV3sgY0LnpkZNHFvM+cxLO4/tt45gw4+Gs2TJEkpLS1m9enXnON9exXjRj+i/MV1/zD71NGoKnCS1Wlj+2sdRx2xu2IxepSfVFL0RoyCouGjoaex02tlev7LXa4VDYVrLh6I+yOuRmJnT+fvwaUpOSId4KqN1WorC2ZyibmOD/Bb3PnoTbmfXezk3ay6jEkchIDAmaQwFCQWd+9qDfhJ66bvRnVk2xUgabzFi0/RebbWp8iNSgztp0YzClvcgJm3kuQ8YXrGWCzprXZS9VYLzjRL0AtjtSh5LYqaJeVcpPZJUagFPewBZlggH9lH87RaqdimhIE288j76mruSp2srI6uNZGRKCFOUFFuJ8rI9Stn7rKH9e2O6oxJ6hoScLc34PT2TiWVZRqg2ox7uQaOOTU33+yIQDrCpYRPT06Yf66kM8j+ALMvsWlVLU6USlg74Qmz4fD8A3koB96pV+IqLaf/8CwLVSpi4MKEQlaBifd36iHNJYYk7XlQqf/aFS+iLyvZK/rDyD5yYdSIPz334CL+qY88hGyzr16/nmWeeYezYyAZit912G5988gnvvPMOy5Yto7a2lgsuuKDPcz388MM88cQTPP3006xduxaTycSpp56K7zB75BxNwo1eREA6uORTVIEpUvk2reNt1olaTlZ9xYnCe7R3NBxct25d57hgjQtBK6IyHJmb/bQfn8G2cTXkb09g5Udf9Nhf564jz5rX5zkWjv0dNhU8tyV6PDQUDnDfN4rAWlNj5LyzRo1m1JyTmHb+JZjjFSNs+O0dVU8VqxFdcYwuP5sMu5n3Er/jkpcvJthNsfets95i29XbeP3M1yPO2x6WYipLXZAYx39G5/Lv0X1XWpWU/4t2ScP5M95mUl7PUmmhIzQi99H3qTtVL+9Et7kRWYY5Z+Zyzq3jyBuXxMV3TukcozVqaKl2IQgistROOLCLmj2KwapNUAwWf1vX53/YqEhDw/PjkbiAkTF6TDZVKMbQtLyBGcMiEA53GWrtzY08f+tPefu+O3sYcDtLy9AFjRSMOv68K8XNxfjCPqamT+1/8CCDHCaOJi/fvrybt/+8nu/e3MPyt/bgbPURiHMhhyBY1dXRvf3zrtYqGjmJ3S37I0I57yx/nxV6ZWF76fpb+lw4Pb/9eUxqE3+e82fU4vG1aDgSHJLB4nK5uOKKK3j22WeJj+96cDgcDp577jkeffRR5s2bx6RJk3jhhRdYtWoVa9asiXouWZZ5/PHHueuuuzj33HMZO3YsL7/8MrW1tXz44YeH9KKONpIvRNjuJx2RMnvPlebB1COhFQPUD+kyGsaMexeVKrKCJOwIoEqMrYIDYOfOndR1KCH2xumXXsL2oZVkrzayfsnSzu1bG7cSlsPMyJjR5/EGrZUzMsexrLGMZnekVozT18I1H5/Mh/XF1Fn24dJFeptEUcXpN/+K2Zde1bmtICcXgD3xp1LTvoXvMr5g8g4TiQ4tFeYaXv/2wz7n4w958UiQqO//wSsIAmel2Mgx9B0CUAUq8Wrz0Kijv/fiAD0sdGinDPn9VArOyie7MJEzbhzbqakCYEvpulbIu5ywfwMjZylJtoZExWAJ2bvCQKIosqfjZTQIMq8srwAgVpN+T6MLo1aFOsbGh53XRSDYzWDZv2UToYCfxv1ltDc1Roxdu3E7YSHEnEnHX1JrcVMxBrWBEfEjjvVUBvkfwLG+gTEGEY0Au1fXsXdDA5NOG4JP40I0S9CtRFnUK1/sP3/zBa37z0cSPLyzo6vC58USpfLnskVZmJ2NLFsX6YE5gN1n59N9n3Jp4aWYNMd3e4xD5ZAMlptuuokzzzyT+fMj5a03btxIMBiM2F5YWEhOTk5E6KM75eXl1NfXRxxjtVqZNm1ar8cA+P1+2tvbI36+L4Id2hrjTXpWNzn7fZBZBYF/zf81zsK38aAniGL5WuKaOz1UwSYPSDK63Oiy9gdTU1PD22+/zauvvtpnx2dBEJh/7SXsSash8WuJkm2Keu0nZUpH5t7yV7pzzYTfI8syL23+U8T2R1bcyI72Nv469WZyixLR2ePwBPqupHn49293/l6W6mFL1mK25zposSrG2xPVfZdRt3gU92mCITYtkVhQE0IOtRIOR9drOSA1H6vBIurVeGTQxvVuKJ1y/WiMVg2+tscBJZclrsOzojMr+TxBb2SlTdFPx7NnjI3xD8zmhI7k7b8t34fX339FTmO7P3o5c8ADm14BX3SBO5HIpo9ue1fO1d61kWHChr1OPAkt2MyxCdN9n+xp20NBfMEPLqY/yLHFV9rWGcrvjmp5Nfk6FVkWDZ62RbibniQlT0bbbiEuWY82T/Fsq7Om4hwzmveKN/LvRUHSbUYIJvLqdiWfbsn2VVTrqxi/x4ouqCIcLCPRZutxvdLGVXy6bBrxYpALCy48qq/5WDJgg+XNN99k06ZNPPTQQz321dfXo9VqsR30hqamplJfXx/1fAe2p6ZG5lH0dQzAQw89hNVq7fzJzs4e4Cs5dEL1HhDg5EmZ1EsSO3c39zn+9FQr7f44woj8zfQef1S9QQAN4ZCJ8ePHK+dsUIwgTVpslnFFhbLCdrvdfb5PAGq1mtk3nk+1uQn/O9W0tbawvmE9GlFDvi2/32ul20YxKzGdjypWEOx4qO+qX8qHNTu5cMhUTh/5M8aMGYY2bGDN9s29nqexvRmLvSuZ2KdWSsNLs7vk/AMqH68seafXc7R0eHni9QPLxegLv2kaGUIz+xsXR93fGRKK0WARNCJiP50SzTY9Gp0aQVQMVLV+Vmf5dKBDu0U0RSYip2RYmHfFGFRqkeyQwNOSkUYpzO+eib7iOkBVqwd/SGJybpQw2opH4eObYfF90V+LDEK3XllqXZcRltThLQMIhAJoG2xY82JrrPh90+htJNUYPVdrkEEOBVmWaf7Pdpqf295j+4HvjD4QIuwvBtnHJ++8iD5oonB8FqZpU9GfdDKGyddT9/F+HluyBp3ezVc3XkqRdR4VvjW0+11sXaSEjtpNIaqSPaj1UzGZey48Vu/6E+maEL8fMfUHreI8IIOlqqqKW265hddeew29PrYGakeLO++8E4fD0flT1S0meLQJtflQxWk5aW4uALe9tglQdE0++KyET7/Yiyx1PbCy4g1srB9PtW8mezw+qiSRPRRy7bk/Ij9fMRikjiZ5Yoz5K93ze2J57XqdgfxrpqGWRIqf+4bq9mqyLLHnGlwz5ibaQhIf7XgCWZb506rfY1WruHXmYwBMLBpJWAyxvbj3jqOCFJnR7lcHGaLPQxvUsGBd18PkhW33UXrttbg75Km74woouRjmGEJCsZIeryRIG4zRjbfOpNsYc1hErRjTF8vR6EVtmI2oziU5b1pnxr+rXjHgjEm9hwclV5B8Uc3lQ1P4qKaVj5ft73XsuxuVz8d54zN67tzf4SXZ8FyPXQFfCD8ycd0Mp7R8RXRNpVaTNbJLXXftzq3oQyaKxvRvAB8LPEEPZm3sJd2DDNIfoW4q1iFHV/hWcgaRA0oOSrxKBpTfvcUbcWbUMnfCFASNBuNDdwGQ5U3B5RFJtkqYkPhl9kgQ/Ty97mNmnaQ0MtyX6WbbsHa8mTqSbJEGyZLd/yQtpMj8J2h+2IW/A3p1GzdupLGxkYkTJ6JWq1Gr1SxbtownnngCtVpNamoqgUAAu90ecVxDQwNpadEb1R3YfnAlUV/HAOh0OuLi4iJ+vi9CLV7UiQaMZi1posieUAivN8hL7+zgtuWl3LxsD+vXdBkRW+ud6ENGGlVdGiWfcQ4BX9drlnzKh1rQx+ayNhi6HmbGFmMfI7vIyszFfaaJ3JZULmiax+TU/lV0DzB5yHkUGA28UfIOH29/hK1OJ7eMu7azokajVRNMbKetvHe9k2RbIqExXa+5Ma6ZVFsy63+8nlvv+Hfn9jM2SARXr6Hp73/vcQ6PX3G/mrWJPfYdKkJHPDkQCkbd3ymJHWMKi6hVoQLC/eiXzLxwGCptAVrLBZx5U1f1irtcCc9Y8vsIrXiDBNUi9/54EsO0Wu76Yif1zdHzqT7YVINKEKIn3PYSCgKobXATFiAzoevzlTVqDHMuv4azbv0d6m6tHLZt3UtYCDFlXP8tAo4FRo0RV8DV/8BBBokRf7c+Yf4ye+fvYZfiIfUk6bGpVQgdj1lZ0HH77y/pFAPdv62r95vkMWDQheCTW5nx5fXYgvF8Vb6MosJhDAsXYcJEmy3Eb+7/EXGmLsO7zlGKo+rvtGAjMfFkwuH+cyr/mxmQwXLyySdTXFzMli1bOn8mT57MFVdc0fm7RqPhm2++6TympKSEyspKZsyIntyZl5dHWlpaxDHt7e2sXbu212OONaEmL+qO1e9zlyo9Xt75cBf/2lLNiWbl5r6jSvkwB0JhVrS5yJDMqISu0Ee2XI3bXt75f9mvGCyxeliGZCuVLxZJj3Z5G+FAbMqiU2bOZUteOVc2ncVpWafGdMwBLiu4gD0eDw9teZEii5XzR98SsT91pJGE+iG8/OFHvZ7jlpsuQ5qkGC1nltxORu1IRFFFZlZXJU9Ok+Jp8G7uGV7yBpUyQaPWNqC590VF/Rf4JYFEUxQPBN1DQpEGyOeff85bb73VI4dI1KpQCQLBfnJLJszP4cf/N5ubnp6HNbnLKPBVu/DSt4dF7QsT0oqo1SL/un4KAVnm5/9a22Mu7d4glW1e5hQkdSYPR2DoWK2JPUM5VY3KAz67m5qzIAhMPfdChk2JLA9uKw8QSHKg18eupPt9kmRIotnbd+h2kEEGgn+/A22OBU2aMcJ4kVxBwkj8rKWU21RVmLRKGDycNBatWsP61d/x1uPPsuSbVay1ltCmcWIKG5Vcub1fAXCiLNMQ3I4kqPjgx29w9birCQlhllcvj5jDouI/oBclZk98Aa+3AqOh/95z/80MyGCxWCwUFRVF/JhMJhITEykqKsJqtXLddddx++23s2TJEjZu3Mi1117LjBkzmD696wZXWFjIBx98ANCp4/Lggw/y8ccfU1xczI9+9CMyMjI477zzjuiLPRLIsqx4WDoeJiOLkjEjcPfWKgQB7r9uMhmCSEWLYulu2dqAF8hPTCVL3aUtMy+wHY+rtPP/kv9ASCi2HACrZOEs/0Rm+idglGDPS7F3arbo4nConUzOnNL/4G6cM/pWANySwA3jf91DtOiSi08hNKwF55cWnn717ShnUNDpuh5qs/IVo1SlUnFjiqI1oA/3/tDzBpWHqFF7ZBI7a+zbSQmX4rOcgEUf3WsjdiRqSt1yWOx2O+vWrWPXrl2d+USd43UdPXjc/atMGqJI5QttPoL63g1XWZbRBMKINiUsO3yIjTtmDmWT28MTb++IGPvlDiW/6Yyi9Ogny5ur/Dvluh67qpqUz3BOWt+hFFmWMTQlYsg+fnsINXmaSDQcOa/cIP/bhN1BvNuaUacY0Q214dvThtyhVxSy+3hJcLBPjmOLFI/BOhVM2Qj6YZRV7SH9IwFHiwefECQwxERZqp26sAk5JHR6PE9p3YOgbmf5fuW+fsmISwB4b+97nXN4b8sDpPk3YNdPJNmYisdTitV6/FXoHUmOeMDrscce46yzzmLhwoXMnTuXtLQ03n///YgxJSUlOBxdFukdd9zBL37xC37yk58wZcoUXC4XX3755THPk4lKSEYOSggq5WEtiiKnpykPzzeum0ZOuoV0rYaKjnLnldvqMAAjR80ghUauF/dy25BU8sJOgnJXZVOnh8XYt4dFCks0FTchaQTS5HjSZg3DmWJCX9qGuyk2d6ChTqAu0R59xd0HWrWeEzIUw3NS5kk99mvUam65/SIY30J4RRIfffVt1POcfurMzt9PmdPlRbt+/uVcn/RLhgxTDCnt0KE9jvV1uDyPlIelpOpdRGB64Z29jjlQJdQ9JNTc3LVaX7s2MtdG6Igjy6GBy2JLgTBGXwg5tfcwX/s+BxrAPLTLaPvxuYXMsVl4cnMlW0u65vZdh2DcgtG9JJzOvhUuehFOvrvHrto2D4IMWal9J4LXNTWhD5pIHXL8VQcdoNxRTr71+MyvGeS/D8mphH2CDR5MU9KQnAHsn+7DX9lOXbmdL+U2zhFXIiDhy9Ahj56NpFLRUqcsINrjlPBzye69bCpJ4bp2HQlaI3TI9U/QpSDLIl+UKh6VBEMCVq2VLY1bACiu/hRD84u0q7K4aPrrlJY9jEYTT1JSbH3F/ls5bINl6dKlPP74453/1+v1PPnkk7S2tuJ2u3n//fd75KLIssw111zT+X9BELj//vupr6/H5/OxePFiCgoKOB4RNCLqFCOORZWE3cqH7oEbp7Hyl3PIH6rkCIxJs7C53cs/Vn3M8+I1GLJfwDpkHCq/lZPCv2PW7svxGvdgNhR2nlcOKNa5oOs7h6X0zRL8r+3GsbOVoAzedfUMuWQEGkFg/1eV/c4/7A+R5ohHyjq0ag6vJCEgYO1FaVYURW78yUKcmTXs/cxJk6O1x5iM5BS82nZC4+ojjCatRsstZ97AsGuuR9BoiL/4oh7H+kJeBGR0qiNjzLa7y2kPi6TH9TSODhBNOK57xZD/4M7YHcasPIAePAdo3tKIWhCIG5tEcXExmzZt6jGmZVMjsiyTPCXye/XEjVOJE0Rufnkjvo4QYUm9E61KIN7Yi9dKrYPR54O2p1FSZ/dhRkCr6fszuXufEtoclvv9VeoNhAZ3A03eJgrij897yiD/fWjSTBjGJiGoBTRpJoITzKxav4a6pzaxYWsDj2mf4gntk5wlrsHrViOERCR1CFejkoOnVqvReZNIqE4m3v4V8eEwl2ePJdzh9TbPuBkzQ9nU1CUsOjppNG3+NhaXvsG+3bdhl42cPuMDQqFW6us/Ji/vl2g0Ry+XU5ZlZPnY9ib6YacUHwVCrT5CDR5kX4hgRzWHXqcmM6Prg5KTYsaJzNov7+Rv/wmR5dzNp2s+YOjGR0kuuQS/vhIhrCVtWFfPGqkjq7y/7sxSh5Hk3NOG26IlLiSBRsCnEghV9J5AeYAt36xAjYrEgswBv3aAamc1Rk3fSb6iKHL5dSejCel46eVPe+xftmEdhkAc48ZGf4CYpk1lxOZNJFx9dY99Tr8TNUJM/XNiweNvJCDo+jxfNOG4hISuBNZZs2ZFHtBhsHAIBkv71mYCkoxphIn33nuPjz/+mJaWlogx/nIHLkHAnBL5d4i36vm/C8ZSEwrxu6c3AFDn8JFkObTeOY1OPzZV/0ngVRUNhIUQhXnHpwejpE1RlR6TNOYYz2SQHxKhVh+BcsVLviKwnfXqUvYVuGiX/EwS9gBwqWoJ88JJ6MtTMfo1+Fs8tKvdmD3pWOwjCXq+RQrswhvaRfUnVdy/8Ub+FLicwLirGGmbSJu0C19QuedfM/oapptChCvuIoSG+dM/wqRLoKTkHjQaK2mp/WtqHSou916+XTKMHTt/fdSuEQuDBssA8ZUqFrL1zDx0edG9DOfOyUVHmPPWSAxpUqpedrRsR5eSQELF6Uwbs4jp478mLmtk5zHyQRL/kiQhdXvgSZKEv92P3GHQSCEJXUc2etWTWwkmGjA4owufdUe1RklaHTHi0G7e7YH2Xr0r3cnJyMA81Y92ZxqffLM0Yt+Gr8pxGluYO31ir8cLvfSi+XZPI/6QkRZnT8/NoRAKtSGr+s7R6KwSkiINlsLCQjIzM8nNzT3ogA4DJzzwnA6pxoVTp6KlralzW3FxccQYdZuPYHx0D9NJUzO5ND+FD2ta+GTZflz+EPkD6NB8gLXbG1ludxKv698T11rvxmN0oI+hg/axoMHTgCiIJBuPnNjgIIO0BpbSlvUtsix3SktsatlNEx7UgnLvnqXaQTxGVIA6oKOhool2o4dAVRLIHpAVoU0xoGgppYQMvBQ+izc3N3JK/iwElZcPdyj7ZH8VF8YHaBGzSCz6gH836mn3t9Pc8i15ub9AoznyIVlZlqmufo21a5XGjF7v9ycfEo1Bg2WAhBo8qJMMWOZkdYYKDiYxxcTU/GLSO56pJ2yXKUgfiSZZSdQ16LMwJke6z8OOyLDC7oc3sPPuVUhhiYArwK5HN9H053VYOlQVRcDbUVGkDYTRD7dhBNor+1f83TWsFqv+0D7cvrAPa4wJrz+64kzcGQ3sfyfIdxvXI0kSpZWVmGrSSJup6debFA1RVwCyhr9+8tmAjz0YWZZJlJsRNX0LinWGhLolsQiCwKWXXsoNN9yAuodxJR8YNKD5hDwB9N4QQqaFYLCrxHrPnj2dvzv22THIYBrRuzjUfddNYqhWy2++2AnAhOyB/61/2aEtlGPt3wjxNwPxvZezH2vqXHUk6hN/kL1VBjk22B0bqR3/TxpHvczuxQ8SCCiLRZfbxRa1nqCseCa/CytJsAmGVuyWUhrbGthUshlJDgHdFqkBBxIyLekCFrGduz/awT1vuZAlDe/tXIrd24i3/E6cspGL5nzJX6oF/lnZyLOl65BliaSk+QdP8bAJBFrYVvwzSvZ05bfpdb1LjXwfDBosAyTY6EGd0r/uyYxMK0K3BfY5Uy/orCwK1Dh7jD+gdAvgrnMTZ/djk2R2P1tMxZ/WYW324pVkXB0JnUJQouDWidh1KkRZJmG8UjrXsrWpx7m7IwOCuu8Hadsbb1C+8EKCUbpsh6QQib1U0xyMRqPmp784BxEVxc86eehPL7N5i+KeHzmq76aLvaHWiCBpeL84jn0NNYd0jgO8teI89KKM1th3f5kDHpbuYoB9cuA+NMCoVcPqekQBkqelYTZ3eUVOOOGEzt/rv6kiJMtkndR7vohGLfL0dVMId4Sw5g4fuGchqcOz8ufr+9fqUTuMmJKPX2NgW9M2RieNPtbTGOQHgiSF2LXrTgRBQxqXUat6kZxsRTBzWMEINoQk1kpKfuLHshIuTjcIhDQuxMa9eH2bCft3oRcNiCrle6M2TEdSNzF/QgWvax7kZtWHCKgIe/KoDm5g42qlOCGoSkBU6Sl2Kc+L55pNWMyjMBgOLcR/MF5vFaVlf8MfaGbDxotwODYxdmyXRlYg2NLH0UefQYNlgMgBCTEGcbd/Nj9DQ8ciuLIoC5POjL5QyXtoe7+UUHvkilST0fWAql1ShSTL2BP0xO1vx9Dx4LFcXEDhA7NokcFV48Jb48LkC+FTi8RlmfHJ4C3v3cPi9XqID1hQ97FqlmWZpiefwrdjB44PPuyxD4gpJHSABJsVn0bJ9bHWZNH4ufLe/XvFC7i9AxM5kmWZcvdGkrR5mLQe7nn/K8Lh6GJv/bGjfgXJQUVSe97IW/sce0BYLubmhx3jevPA9YZjWxNeGVLHJpGRkYHFYkGv1zNkyJDO6wvlDtpNWnTWvvNShufamJhgRpRhYs7Apbrn5CUiyPTZpwrA7mrHELCQnH58VgjJssy25m1MSJlwrKcyyA+EYLCVFk8NK5OfwTz9Lmy+uQzJWUeiJsy4MYpw4m3Bm7ghcDvvGGbi1jmpC4l4fCGEkHLPC/nW4keNSj8E0GDJlPlZ4i8JNmxnhFjNrzVvU3KNlilpk3CxlzdalaR5fbiRgCRzINrcKhkwGHMHNH+3u5R168+jvT0y1Gx3bGTV6hOpqHiaFSumEQy2MXnSuyQnnYxep2hUHesqpEGDZYBIniCiMbYKm8+miLRYIOM8JXlUk2zEPCsDqT1A4z+3RIwV9arOFbnU7scPjLptIt6ObbrLCkmb3OGOyzKTphFxv7wTPwI5t09CEAT8JjVCH6XNZSW7UKMirSC399fndhPuKNlt6lb9BRCSYxOnO5jrHjqB6/8xm8v/MoWy1E1szPyKddpvufzVawmHY09M/XzPBkLqei4sOJ9bTzSyvCKVG557CSlWz0c3Nu6+D7ekYsas9cQbowvGHaCzkinGyxwwU+QBelhUTV4CNh2iSkStVvPTn/6Un//8553l/a3bWzBKMqYJKf2cSaHR6WesyYDqEEJvO+rbkQXQavs2zvd2aNBkZcY2p++brU1b8Ya8jE4c9LAMcmTQaBL4krN4ssnKH0tr0aoTUYV1nK6ZQ1FREf+YPQwxPsTXTCYwOpEtiRL5wTrOC+1GENQMzT2bIR1ViYb8bIaeHSBn3kuImgCp7V19iV4oWctm1xsADEm5FACfcSJ6UcDS8Z0+VVyOwZAT89ydrt1s3HQZTmcxzS1LOrfX13/M5s1XEhc3Do0mAZttKhPGv4zRqCyWTOYCEhNPYEjO9Yf35h0mgwbLAJE8QURT/+7vp8c8wdpCkRtvVlN0xRWd221nD0VXEI/UHkDyhWj4+yZq7lmlCMd1PBB99gBhCUSNirSbx2O6rojkcV1u/exTutQMdSfnYExUQk1iuhljIIwUjF569vl3H+IXAuQN66O8sw8vQiisGCwDrdCxmePQabQk2Ky05e5jX9pm7h3xEPu0O5n2wgxm/ucEvty8pN/zvLD1XQhbuG7yqVx70rn8cYGfb/el88XWdf0eezC6YDVu3QiMuv57EvWmdNvr+I63MFaHDICz1oVJktEX2Dq3mc3miJYTTUuqCMgyOfP7Lx92ugNUBINMPQTvCsDytg5FYX3fxnlVtaIrMWxI7DfN75Mqp5IkOC553DGeySA/FDyeMkpR7qFft7TTKi3D3DAZfauBcJuPs88aweSCevwLMpGtWpbHhfiXyk6C6CUpZw5bDHX4U7LwtT2Kevrn1KZqcAsmQmoBVaiBSzNSGZOXw6Mtb6IP55GumsX1E36JTxIJSGEEQeCMZBsAk+TVaDW9f8ebmr7G46kgHPbQ3l7Mpk1XoNelYzQOxeNR5Aha21azY+dtpKScyaSJbzB3znomTXyDuLiuwgy12kI47OvtMt8bgwbLAJAlGckTisnDMmviSTw/8RmeHvP3Hg94Y8cKufmF7QTr3Mj+MMEaJWzi3tSAqtmLU5IJ+0NYMi3ED4/8QMYXxOMek0RwVgZ53YwXy4h4VIJAS3H0OOP49iJK9ZW8+F3vKrSi2YwqXrle0i9ujthX0a6sptNMh554VR4qpcgwjoUzzuSvRY8xM24uoizwj43/oNVp7xGCaHS1U9bSyJbaCkrc35BvmI2xo4fNtSedQ76tgaeX7BzwPOLEAGpt356VAxxQuo05JNTBwR6WUDDIijdfoWZ3z/k2rVMe/CnToivSSmEJda0LT4IBTQxqyE9+tgOzrp1RwwbeJDIUkkhGZF5y/2Gexno7AZWPlITjU0W21deKQW1Arz4+K5gGOTasrVvL2yW93wf7orT0L/jFroWEJPoYOuk2QAn3S20VjPR3eUqMOz5jgn8z2boGPB3pBHvVyve9jgzuV9/LE/yKkErgWevJ7OjoiD7NdhlrrvmAr698mnRLPO2yDk1Yka7424gsVk0bSZG8GUGMrrFkd2xkW/GNrF4zj1Wr57Np85UYjblMmPAqNtsU3G5Fab2u9l1MpuGMGvk3RDF6qFmtthIK9S+bcbQZNFgGgOQJggwqU2whoSljZjJr4rwe2w1jkkAUCFQ4EXQqEn80sjOO0Pb2HuJUUOqT2PBC9AexIAiMuGIkeWdHip0lT0whLMs4tvfsmSLLMnnODBrw8lzlv2i0RzdqBEEg8frr0OTkYD33vMhzdLiADqfaQkDofPCfMWk+T1z8N24c9ksqNXs54f053PBKV3+iqz94kJPfm8V5n57MVYvOAtHP1WMu7NwvimpumJ1EcWMKn29aGvMcZFlGK4AkxPY6Btr8sNNOOWj87hVLWfvBW3z1dM+mjt69bbgBS5Yl6jkbVtehB2wzYjOyzNI7PHbiXaQn18Y26W786P9W0ISENgZPmrPJj9/sHLBq8veF3W8n4Qh29h7kh8Ez257hgTUPsLauZ0f4vnC799HS+h0ZJmXRaZad5BvvJL6oCE22BV9pG48+/AFnVKxHlMPY5DaSqhvQWuLRiXtZZ9tMg14pZhDEBPYKSsL/DmEs21JT+EouA0nPykvW8Z9zf49KjAzJyh2dn7WiiMWzAlkOoNUon29Zlqiv/5h253Yl36/8H6jVcWi1KQQCDRj0WUwY/xIaTRwWy2jc7hJcrhKamheRknJmP55zGYHYGvMeTY7f1P7jEH+pHaBT4VaWZfz7HOiGxCGoY79hi2qRpGtH41pdS9wpuWjTTGQ9NIdAk4fAPgfaLDNxz+9kZ3ELU/whRF1sfyadWYtbo0La39MStle0YxCgaPhUwr4XuPfTP/PUlY9EPU/iddeReF3P3jJD4hRvTnFTcY99sWLGgjMcWSV12dzzKPm4hJWt37FOvZTzXv8FnnCQOmklw3SnMyd7Cjq1hiHWTM4qjOx/dNH003lt3Svc/p4Nm2kHM0f0n6uwr3kNAEZdjHkXB+yVGHNlBJWATE8dlvoypZdUW10Nbnsbpo428bIso2rxEU7svdlh2+paNMDQWb30BDqIYUalB0nVvlsYnvEpCZbYXmtFrZNVduXv86OT+heCC9kFVNZDy236PmjztWHT2Y71NAY5xpS0lnD/6vsxaAxYNBY2N27GoDbwx5V/5P1z3ses7V+rSJZl1qxdAMBZGYV8s6eOGaxgfbWVrHCY5J+Mpf7h9Sx0jiPDbeXNPb+gWo6nSczF2zCZU8dvYGzZBtqsZjSchcY8B4/QUSQh+fmD2oBkLOWinN8Sp1fuBZ5Nm5G8HsyzZhHSZmMKliPLMuGwh1277iQpcR4ez35KSu7FaMxlz94HALDGTcDRvpkxRU8iSQF27LyNxMS5qNXK60xPu4B9+x5n7bozOsaP7fO1B4NtqI+CzstAOT6XRccpqo7KjAMdlT2bGml+tpjGJ7d0GjGxoh8eT9KPRqNN65JE1yYbMU9LR5tpYeyZeXjCMqWL+pfbj5hjlhmTO0jQF/kQsRcrXpfhc0ZwcfzVLA8tYvmOga0ujBojSYYkNjZs7BEekWUZf2kpcrhv6WaVoCYsRc5NVIncf/6dfHn1J6h9aZQFl1Ib3MSEuIW8c9FD3D7rIm6adl4PYwVArdbw+s8uJMfazM1vbsfudvcYczA7q5Vu0nMLbux3LIAoqA68yJjGcyDn5SCDJRToqgxz29s6f2+vdmEGjMNsUU8XCoTRN/sIppti0q6RJAlRU07QdzIa0cdXK3+KJMVmVGwv7RLk+3Zrfb/j1U4jxsTjd91T7ignwxybV2qQHy517jq2NW/DFXDhDXmZnDqZfy/4Nw6/g79t+FtM55A7ig7UagsXpdh4WrWdK3iRmsZNlJWVEax302gWOXuegV+M/B2NtUWsCUxixZQLCfq+I6nNz0++lPj5R+3khG1ojMkYUITjtL5ttARDjDSN4e6TrgQg7HJTefXVVF13PcGaGtJTTsUqBilvWkFLyxKCwRb0hiHsK3+U6ppX2LP3ARITTyAl5QyCIQdFRf8kJeU0UlPPAgTa7Os7X4tKpSc19czO/+v60VcJBtvQ9JEr830xaLAMAE1HQ7q2D0qpf2QDbe/sQWXTEWrz0/71/iN6rawJyVj1KnasrBvQcQnjUtAIAntf2om3TUmSqvq2Cs1KJTRgzDBx61k/ITWYxYOrHyQUGtjqeF72PHxhH6X20ojtjg8/Yt9ZZ9P09yf6PN4v+ZHU0Y0ajVqNqupGLDW3sPaKFbx8/r2oY5CGjzPG8c/LJ+MNqvjNmx/0Oz4QdiPJ3UI9/dAlzR/T8Ki9h4BOj4qoUpOY1ZWk2rxeMQySeslfqVlShVaA5LlZMV2/sXo3Kp2TIWlno0p4kCRNMV+svi+mY0+dmc19s4YBsLna3udYl8eN0W8lIWXgSrrfF9Wuaobaeu8TNcj/BuOSx2HSmEg2JPPU/Kd49pRnGZ8ynt9M+Q3v732f76q/6/ccoqghLfUCQiEnqxfNxxK6Bw0hVGKYVatWse+j53l5zOs0a/R8kZrJdlUaFpeWBlMxQqiVMeXKfcTig7S0f2FI2M1wFF2q5A6V6LPzu/rL+XbsQO4QkGxftIgpeVfil2Br+XN4PPtRq+OoqXmZvNxfdBocebk3M6boH8yYvojUlNMBRZZBq02hvX1zxOvJz7uV8eNfYuaMJZjNfWtRBYNtnaGnY8mgwTIARKOGhMsLsczORD8iAfPMDFJ+Po64+Tm419UTqOt/dR8rgiAwJN9KiyO6gqgsy3z9zBN89fQTEd6OxCkpOAxq4sod7P/reqrX1BH6qhx7SGZPQEKlEtFptPxu0u+p1eznn189N6B5DY8fDijqod1xLl6s/LtoUa/HyrJMq6qBXF3vD5BwyMAk4yhMul6a9fVCQdZEfjnHx6K98Xy4vu+KI2/bclqERCz6pJjO3VXWHJvFcsALcrCHZejk6SAIDJ00FVU3dVxfqR23AOaM6F2RnZsa8AqQND42AbjaytXIskD20FmcNeUcSjxXove/zs7yb/o9Vq0WmT1BMZz6K8uuqlNi8Umpx95V3BvuoBuz5vg1qAb5fojXx/Pw3IdZVr2MJzZ1LaoWDl/IrMxZ3LPyHtq8bX2cQUHfqghe6uVsUtT3sGrlJTQ356CuD2KsL6CRFKZtWspPX/k7OkccmkCIy5d8BYRJdHYtvrY3DSd36LNMZQ1Xi+/wc/F5NCoT75V9jj+kLDQlV1fo3PHe+1j1SVQERAKOFbg9ZYTDPiyWInJzb2L48D+QnX0tVmv0difWuPEAtLSu7Nym0VhJTJiNwZCDLMtcv72cczbtJRBFeykYaEOjsfX7/hxtBg2WAWIcm0zcyTnYzsrHds5QVHE6zDPSUScZcHxSNuBKkr4wxevwSxAO9PRINFdVUPzt12xf8jVNFeWd20W1itH3zEB/cQFmWYYPS/ELAitdIYIjuyo55k+czTT5JF6tf46a5v5d/wewaJWk0BZ/ZNJuqFlR2A2Ul/c45gBltZV41E7GpvTex8gvy1j6KaXtjZ8uuIzxafU8+HktTk/0jPZA0EG6yok6blbU/b0RRor9b9tLzktGQSHXPf5vzvhFZAMxTZuPoC16FUsoEMZo9xPKMMdcTu6wbybkycRsVVZEVy/4PeXthZSU/A6Pr/9Mf1NHJcOs/L4rfxoalM9AaurxWSEkydKgwTJIJw6/AxmZ57Y/R0mr4tkQBIH7ZtzHyNITePXOtQSj3Gu7kxQ8nWFr/sGUM19nyPjzCIe1gMAUaTgqyUz2jiHMXb8cg8eBsSWAOmSmNWcaglqPIHXd197In4jTHYeIxCnhN9kjjKIp4WeUuV2c9tJJfLb2A4KGroqd+CuVMFGJTyRRJdPS8h2yHGL0qEcQRQ2pKWdQMPyuXuc9YsT9AFRXvxx1f7k3wKdNDtY53KyyuyL2ybJMINiKRjvoYflBIKhEbGcPxb/PgWd9Tzl7gP379/PQQw+xadOmmM9rsikfWHezt8e+1pquJlTbl/b0aiRNTEWalEq7QY19bDIhoGBqZM+c+8/8AwIid3/2p5jnNDV9KgD3rro3Yrto6L9dwYYyxSU5bcSkXsf4kTHHmGR8MKKo4q8XzcPuN/Hnjz+KOqa6bSsAyda+k8wORkaOvUroQIPKKKJ4trR01Nou75GnyYtRBn1+dC9F3cpatIJAwvTY8zAC8g40dDXWtOi1TB73CBrRw8fLf9Pv8amJRrQyePu5ebe2KCvA9JTYPFXfN56gIqJo0kb3XP0QaXMHuP+TnbS4jt/eTseKu1d29cRp8XUtuFJNqRS4xyP6tCx6bkefQpSSPYRGVgz0uLg4CgsLSbEkYmwX0WZbyCy2gay89yHfKsSwHklrxJ2VgEdtRRKgIhnaDFWsc8xmSbuahqDA21zBjO37ufkTCV/Qxe92382dO55CtFhAo8F80olIksQ2r3JvDIXsmEzDMRpja3GiVisLzebmxVH37/d2fV6eqYps7xIOu5Dl4GBI6IeEviAe4+RU2t7fi3t9T4/Fpk2b8Pv9rFsXu8hZXLbyIata1/N83fMj/C5Xj/0AQy4ewah7ZlBaaieMzD6Pj0+X7cfR0eU5IzmVK1OvYx1LWbSp/xguQLJBCUtIssSyqmWd2w1FSnWO+eTepZv31JehktTkpETP1fD4g4QFsMSoJByNEZl5XDmhnbe22vhg7ec99le3KIlnuUnTeuxzLl1K+xdfRD2vLMgxe1g6Jflj0JmrX6H0Q0qaFL2Kx7GpER+QPDG2cJC7vRWVsQqbNdIoHJ9XiFN7M8mqb1i69d0+zyEISpWTFOr79Tpa3Xg0ThJMxz4ZLxruoBKiNan/+w0Wl6sEp7N/vaE73y/m+ZXl/Gtp2fcwq/8eglIwQql7qPWgsHSqEoYp39rMy79fxdLXS9i2pIqWGlfE9969rh7Jqdw/pZDEmTlzONc9GQEB86npFI6L9DYGdC2sDqXxvuoknpjyGx64agYPXKZCHaqljlQ+cmh5rCGOsHcnJ2xax9wdMg+/CL9LvoVV2mJMjz9C7uuvoUlJYVP1pzSFRAId07HZei782kNhWgI98xL37O3KYYt2H+vuu9UfJFEQCikLkwNGz7Fk0GA5gtg6dFEciyp6fCjsdjsA9fWxh19SxyaSYdWyZlEVIW9kFZI1pSure9wpZx58aARl9S72asJc99E2bv5iB7/5d1e2+E2n/5iMQB5/2fhQv31jDvDLCb8EIqX6E667joQf/5jU3/y6t8NY176K4dKYKN2NFewd+TpW48DyVw7mrguuYHJGC7/72MeakkgDsdW5C1dYIMsamWQWamuj+mc3UnPb7QSqerZQl5FhAGXNAFK4//HeXS24RAFbvq3nNWUZTZOHQII+5s7WFXtXIQgyWfkze+y7eM5PqXRPwlH/IHVt0fVZ3J4gRXd+QVAAqR8PS1Odg5DRe9x2QXYGlBvtwSWrsizhcGxhf8Uz+P2Nh3TulTUrsfvshzvFXgmFXAQCihfA4djC2nVnsG792X0eU9Xq4csd9aRYdLy+rpI2d+Coze+/jZ0tirF3au6p3DvjXlJNkd5mrU6N09DC1LPzSMo2U1/mYOV7pbz5wDpe+O1Kvn5uByVr6hAMSri0/M3Xqb5nCY6P9yF7QmAJ0fLv3Zir2kFQvM3apEKssgltoJbz7Mn8pkzDpLpzaDcJaFRncXm7Urrsk4NYm/9ORZLinU+wh5g/Q7mnr3VXYBijhND/tfkx4tUiJp3i0bRYiiJeQ0iSOWVDCXPW7aI9FPndlcJdHhSnczsHk2/sCj9dl9XlMa2r/5CSkntieo+/DwYNliOIqFORdP0YpPYA3m2RbrWBytmDkuw59cJh+MIyNRsiQ02pQ4eRWTiazMJRpA0b3us53J4A8ZJAcpqJVy+ZiCiDStU1F7VKxbk5F9CoraY9hpJggEavcpMfGd8VdlDHx5N6x2/Q5uZGPWZnWSnVqn1MTuxZmnyAto6GkHExCvP1hlql4rnrLyErzsnPXt9HWX3XatPnraBdNvQQZPLt7Fq9tn/e08uiiOYNzMMix9AnSdceIJQUXX+lpaQNE2Aqij3k0tSwlnDAQnLGyB77VCqRU2Y9Csh8ufL2qH2cVm2px9XRguDy04b1eh0pLKGpjseUf+Ryto40pQ6lki3HolRktbatZteuO1mxcgYbNi6krOxhamrfHPB5V9as5GeLf8YfV/3xiM3V4ymnouLfOJ078XjK2bv3TyxfMZWVq05gw8aFneNcrj1Rj29s9zHnYSXZ/C8LxyDJMi+s2n/E5vffzvPFz5NpzuSh2Q+xsGBhj/06vQZVSMOUM/M466ZxXPrHqVz/6FzO+eV4Rs5Ix9HoYfGLuyhpU4xAYZcVJAGGeTCeHY/sEvAZ23BiJ8U8A5s2g9MMJ3NCcCqXzz6bJEkk5C9GbH6La9bcxS9Kktgshhjt6rp3L5rg528XiFx6pxqj1sTI8DC+rFPC/VVt21lvb+LKYaeQmX4JAG53pBet2OVlvzdAazDMqjYXkuSnsuoFamvfpbHpSwC02mTq6ntWUg4x6PhRRiKnJsUx3dpl4O/e/XuaW749zHf/yDFosBxh9MNsaLLM+Ha1RmxPSlIeOjk5A+y5olH+RGpVpMEjiiouve+vXHrfw53S8dFYu6EeFQILTs1n2phUZCAvIdJFPi57NIIs8ut378Lt67+D8sb6jQgIpJtjEzEDeGT542gkHTfMv7LXMfZ25WZgsxyehwXAYjDyyg2noFFJXP3cSlraWxWvV6AWSdMz/CJ1M9acX33Vc78gx17WrIotJOSobEcPmHrRX2leV48ky6TNij1/xRfchBAs6lV5NjMhi7jUP5BjXM9Hq3tWiM2blolehjnxFgryeg/17K7chzZkYPjI2EqtjwU7m3eSbUrFIDupqnqRzZuvxO5YT1raeUyc8AaJiSditw+sD5Uz4OSeVcqKc0XNCmpdA1cSPhhJCrB6zXxKy/7KuvVns3rNfGrrFNl4q3UCIwv/QkLCHAAaG6OHLHfWdXVpn56fyOlF6SzZfWjeox8ibf42xqeMR6OKvhgyWLTogya8ga58QY1WRfaoBGacP5SL7pzCwjsmscsnsTa1hMw75yLKGoQcCceyvQTjGtg3VcNK/Q4MaXGcmnkVe0anY7t6FHNmKYKbYd8GkJxYtWuRg/W0i14kGVKkBF6d/xgpdplNw5R7R01DJaenLGC9vIXmtkbWVH2FjMDZI37M0KG3IQgampsjq/4aA11e+L/tr6Os7BH27n2QXbt/iyQpIa/0tPOpq3uXlpblPd6Dh0dk89KYfNQdCy63ex+SpCwiVSojcXHHvh/XoMFyFNANicO/vz1i2/Tp08nJyeGEE04Y0LnsVYpb25Z9aPHD3cXN+AWZSeNScLoCyAIcZPswa9QULrFew1rxW37+2q/6Pac75MakMQ3Ia1QbqiZXGE6CufeHoL0jNmw9AgYLQEZCOs9fPYE2n4EfP/cB3+z+N8kqH8PSe4bQ1AldCWUJ1/24x/5DCQn152FpWqOUhqdMjS7aFCp34NGq0Fmj9/c4GJ/XjWgsJc7cuxcL4KTxF1PtOwFr4C988+1QSqp3EQyFaW6vR6USsQkqwv281j17lb5SowuOX42TJPsb/CqhnNVrTmbP3gfIzLyc6dMWMXzYncTHTyU+fgYOx2YkKfbQyf9t+D9cQRcfnvshcdo4/lP8n8OeZ12tkmslCnGMKXqKxIS5mEzDGVFwP0WjHycj4yImjH+RtNTzaGyKbrDsa1IM7ocvHItRqyZOryY4gE7oP3TCUhhtLz13AIJh5WGvVfU+Ji3fijGxDpXGSKBD+DGwyY3aacN24TAqqxTjdYdKCSknDTGR/91FpC25kdZ4FbJkByDbl0q7qCwMW9QORohDGeHI4JHnZG7+RPmbNTTXctb0hcjA5+s+oqJ9PyZRJjVuGIIgYLGMxuutiGhI2D33ZE68hcqqyAVJvG06ubk/x2DIYcvWH+N27+vzPdu//0m02hTmzF7PrJnLB8uaf6jo8m2E7X5CrV0fpuTkZH784x8zdOjAbvD2KhcaAYwZAzdY7O1+nLvteCxqtBoVCTY9I3Q6Xtle2yMT/g/n38b1ib9kk3oFn6yKnkl+AH/I3+cX+wDfbV/DJ2sVl6aDVvKNvYeuABwdMfeEuNge0LEwZshIHr0gmW0NKXy0vJhmyczMEbf2GKcvKkKVkIBgNGKa2TP/YyAcqBLqT8pfv0lZAZvSeiaFBlwBLJ4g5MT12NcblXtXIapCZOTM6Xfs/Gl/6fy9es9ZvPnFSWzdMIs3l7xAPWFOLOxbyr+ushWfxk1WSt8KmceKsBQkVWjFo8ljwvhXmDF9MSMK7o8wsuNtU5EkH+3O2FpNLK9ezvt73+fXk3/NUNtQxiWPY0fLjsOeq6t6Go7905HkduRgOuPHv8D0aV+SlXVFxLiUlNNxu/ficu/t3Pb1jnre2VDF3kYXI9PjuHiy0slbrRIJxWhg/9DZ59jHtuZtaMTeQ80ej4+QOoiqD6FKWZYIePSYrAb8TYpyuMaeSnhyIwnDJ+HzKff7A/pFuWIJ1G6CnR8yYpQKEFALWkbHK/eXkBCi0dCIRZtA+9dfo5JkZu4VUYVlXD4XyUmpTJKL+LL2a3xBF2pBQOx4DVmZVwAy1dWvdM5vlLlLGuHiVFuP+Y8YcT9qtYVJE99Cr0tjX/njfb5vYcmH2VSAVptwXBgrMGiwHBU06coDKNhw+EJy4UAYURC6wgwD4JknNmIOQnxel7Fz9eQc7Ejsqe6px3HzGT8mOzSMR7Y/jNffeytxf9iPTtW3UVFeWc1NG2/g97tvJxAIgiwQlPpuX9DeYbDYrEe2s+6pE07kmsltfLrvVJqEcxGiKNyKej25b79N/vvvoY7v6QWSBCn2XkKdSrd9j6+SlFWWp6m6x7665TWoBIGkAYSDGupWEg6YyMzt33WbmZjCnDnbcOpuByDDpFQruR1vk2WuobQpeuXZAVz1QfxWx3Hb9HBf8zrUAthSLyQhYSZGY14Pj6DZPAqVyoS9rf+wUHugnXtX38vMjJksHK7kQJyRfwY7W3b2abTIcv/VZTtW1BJu/DlBVyZbt9xGONTl8XmkvJ6C5dvY7faSkDAHlcpMY6OSj1DV6uEnr2zkN+9u4411lUzIsXUepxYFQoMeFgBu+PqGfseoDKAN6Ql1S1a119dFdFZ3O2sJeeOxpVoJbFe+u8G4ZrLPuQAAvV65b6llxejx13eFC0+yrUUQu+4rcZKRdq3ihV/i3k6oUcl5FEJhcprA5Xfy7rvvkhzMYLtQwrbW/SR1k0NITT0XUFFX/17ntmSthscKs7l3aAajLF2LoGnTvmTixDcxmZTFslptYsiQn9LY+AVeb88CgwNo1HEEj4MOzd05Pu82/+VIHX18Ym1a2Bfx6Wb8kozX3rsB0es8AhI+Uebaa7uE2sYWKKGP7Xtbe4xXiSrunXM3fHMf5gAA8IdJREFUrdp6/vbxk72e16azYffb+7z206ue7/z9rrf/jFPbyvTcvkMV9e0+VDJYDIeXdBuN7JwhyIjkpJ3b6xhtVmavScMyxKx022lc9lEl1NJQwbZ2DZIQonnlmh773dtbcAOJI2PXPvD6N4J/NGIM7QwAtBoT5826CUvWi9QFz6I2eB65cXu4b+Zf+bCiiprGPoyWVj3alON3Bf//7J11nFzl9f/f947b7qy7ZC3urkCCBguuxaGCtEgpVNCihdJS+JYWL+5OgAAREuLJxpPNbtZdZ8fl3vv74252djKzlkBL++PzesFOrjzXn+c853zO55SW/xWvDGOyTul3G1HUEh8/hc6uwWtq/Wnjn3AH3dw1+65ew+fY3GPJsmbxxt43orZXFAVfWSf1t6+m9e/b+m3X1emnsdzBhGMKKcx/ANFQzebVT/W28Vx9G90hmbebOtFoDKQkL6KlRQ0hPfPNAWwGLedNy+HokSn8dEG4WKVWIxAcQpba/zI2N2/mlT2vIPeQyM8sPrPfbfWSSnzfXaYSWRVZ5s17f8vrd95Ke506qLf2aF8lZaaRdOJktNM05P76FDQ6tb8qKFDv/8iEeLpR6KpX21QUeHd5LlrTTCQxHo/sYbyUS4Y3C337bDxiO4E+WYABo4Gathp27tyJtlGPTtGyx9VGqiGsdSWKGmy20bjd5RFhoQsykvhZruodNRjSyc+/FqulmAR7ZN+bkXEWOp2d8vKHUJTY2YBaXTyhHw2W/32EmlXrWxN/5FwMQ0/GTNAz/Iq4SneQQLIecx/l2JEFqpW/r6Yr5j4zSiaz0HAy7zlfpaymKuY245LH4Q152d+5P+Z6gAZPHXnBEtICuSyV3iY+kMwZ008a8Hw31XUxQq9HFIfvTRoMa6uaEcQAi0dNPqz9lZ48oaHAH5DwogzoYancuZMQ4MuoRdqpiUop13R4CSUao7wCnU0NyDEKTAaCXgRTGVbztCGeZRgzSuZz8Ql/JTl5Xu+yEnsFqQmxs5e8Hj9mj53ErB+mvonT14HZswWHcQpJloFJwQn2GTgcW/vttAFW1a3i/fL3+fW0X0cQzbWilrFJY2l0h8tUKIqCv6abtmd30vacmj7aNzTcFxUH/kzZdjVkmllsp3jCXPAsosv3LD5vF15ZoT2ofvdP1Kjhw5TUE3C7y2ho288bm2q5an4BD509gRcun0FeUvh5aEVxUB7S/wJe2/sav1v9u5herIc2PMSDGx4k2ZTMqQWnMja5/0ru7a0OvHoXI4tVgmxnUwPOHvXusnWr1W0ae55BVi66BAvexVPp6lO/YsakMRwTGMfMCUXUGwWCnnB2X8CTiEY/ilD8xThFHzlyEimt05nkPA6EIP9wq0aoK0lPgj2fvS5ViVen6BgVLAHAeoieUHb2JYBCTU1sHpXf30RV1f/FXKfRmBg58m5aWpfyzeqZvVorfaHT2gkGu2Ps/Z/DjwbL9wAlqA4+3p1tR9yWoBWQUVBCw3PvNja7ifPJZI2KnKGv36l+dGn22IMRwB2n/AaDYuTOZffEXL8gewEA+zr39dtGi9xEmjaDq8deRZa3kJ8WXotO17/nxBcIUebxMSPL3u82RwJfUEIUA2iHqGdyKBRhaEq3+/a1cerz67gPL3F5/fNPGspb0Vu7sM8dgc6VTNe+cGEyZ6MLiwKmQ7KHyjeu47lfXsPKl6Kze2r3r0XUhMjIHpy/0h/mjjmBxqDqkViYUodOF9tTs6dCJevl5/8w+Su76z/AKCpMKBg8FGC3z0CSXDhde2Kud/gd3P3t3czNnBtzhm7UGvH11H4JtHpoe34Xrf+3DanbT9IlY9Dnx2EsjgwxyopMi7OaqqonKd+5FI0uiDVBDbFOmHIbghhg69q/RpHjARLss1EQ+PWrL+ELylwyOy/meWtFgdAQdZX+W6EoCvevv58PKz5kd0c4dLO9dTu13bVk21RjdW/HXryhaLXwvpCa9SjIGHTqc/A6wwP4t2+/CkBXiwtR68dqt1Lj9XPUhr2csbW811jy1pVTKKdhLyiiw64nwW0hWHg6wqyfIfZIs31jDPKMsIsq/5f4FZgoJPFsp5ddo0N8NR3+clyIeLORXZoy5J40w8kGtT5QQ48a7QctnVy1sxJz0mmIop66+pejr0dSr3egCstpqYuZOOEZgsFOSrddEeGpAdDq4giFHCjKD+c9+tFg+R5gnpaGNtUclSl0ONjQ6uBRu49HP4zdofaHzaXNCAgUl0QaLJsr2hEUOGdh/5LOiTY7Px1xPTu1G3n7m0+i1ou9xXJi79/pdNCorWakfRTnzTmDz372Pj9ZePaA57tiQwMBAY6bPHTOxnDQ6fGj0Q7fS3UQQ8kSWr+hjnOf30ALCttkicRR/YdzOuq0JGT5SJ40m5CxC8e6sL5GW095h+SpkeJW+9erhcvKNnwb1V5zwxqkgJmcosPzIAHEmcycPus2AObl9V+64ECVyncZU9i/TsvhQvZ6CdbXH1EbjZ2lhBQYmXr0oNvGxY1HFPV0dW2Muf7hjQ/jCXm4a85dMbPitKKWelc9Z7y3hKmfzqSuvorEi0aT9supmMYkITsDiDY9O1fVs79HS+nSTy/h5o9PBMDfnYnOVtvbdmr2CBTPTLrdKxCCHvKMqpf2thGqcSjLanq9Sevh7xdNIcES24v7/wPptsUTTtte27AWgDZvGxd9ehFnfngm7d6w/P7+rv69wQCYgyia8MBsMIfDL1MXq2Fkd6eI3taFIAis6HASUBTKPD4qvSrnyLu/BUnrxZpdgCnHhh6Btpl/IXT8/VQmbMep7+SP9nuwCh00BLMAMDpamNndxLPeZoovC1BRKNBOHW6NlzajOuE9+6hzydDCYvNoFEXhzv0NfNzq4O2WLlJSTiQQaKXzEB5WKKSOPaNHPTDgZScnH8O0qe/gdO5mz97bI9bptPGAQig0MJ/t34kfDZbvAYIoYByZQKhlcE2TgbB9RzN/3KUSMl+ubaOx1U0wJPPbf2zktHu/5opHV/Pbf2zkyTd28v6XB9i6rYX2ZjehgERdtYMQCsWHzNK7XEH0CthsA5NmLz36XApCo/nr3kdxeSOvwxlUZx8CsUM3gg4UQSZRN/SieMu2NWJUYN7UoWu7DAfljZCdPLBy60BQBAYMCn36RTmXvLuNfIOOn43LolNUaGuP/fx9Hgfu9lTSC2yIGi2MciNWJBLyqbMib3kXXojy0Lh6Uild7dGeO7dvM7J3NNoBvFhDwYYvPgKgYHT/JRaa6ztxG7pIix9auYDhoO7aayk/4UT8+wcZYAaA2DP4DyXrXhQNxMVNiqnHsrJ2JR9WfMit028l3RLbm2TVWWn1tlLnVo0swymZmMcn9/KYJGcAwaJl5av7+OIZlZx77Et7uLoyhCNowN+dSUK6nu7Wlt6Zemb2EkRjAyu+PI5f59pZkGDlwgz1W6po2oYoKCyaeDInje//W9FpBEL/4xyW6m41tT7dks7u9t10B7q5eYUqy+CTfGxp2cIZRWcgxiDZHwpbugFtUE9Ikti1uoEdqzwYber3N3r+MYCqXK3Rqn1Iax/5+6VtKs9D3i8QympC1GqJ7wkVxWdYuHfFS3wx8jlem3wPxezmPM0q2nxmpMB+hKB6bho5hFaA8bYk2gJdGGQdQpJCUVERWVkZ/Cbdy7y4SThCEk09eisPHWikuKfg4f7ySMOkufljAKzWUYNee3z8JEaNuo/m5g/p6FPNWaNRjTZJ+tFg+Z+HxqpDch/+jL6j3cPVr20hV6vl0ytmIQNvfHmAv7y5k1crW/D6Jfa0uXjvQCt/2lrNr77cwxmvbWTqn1cw8fef8eCBBnbbIPmQ0I9RIxIUoLt74OJooihy99F30q3t4IEP/9K7vNZZy7M71JDE0blHx9y3U1ZnfU4pOi7aHzY3OhhtMaHTfvev5LqaMnyeFE4ce/jeGwUFoR/P6Etv7eT6r/cxx2bm9d8cxZyxqmekdF97zO2r924HWUvuKJW1nzhnMpqQmdaNqpiT2O7FH0OLRmeIbWRKIR8Y9mIxDp+/cijkntBjY3X/RFF3a4hQvPuw1JsHguR04v52LYRCOJevOOx2Eiwj0ApQ5+g/ZNkXdvt0uro2RfAgHH4Hd6+9m3lZ81hStKTffX828WcsPXMpD05QC4jGmcNFLGVPECUgo7WHn5vf4WLaNg/v5ZzJk9xGoDsTpCaevu4K1r79GgDjpi2B7gvQmFrIqr2aNycVkWpQDdHa5t3IisCi8QM/a40o/M/rsDgCqqEwMWUiFV0VPL7lcfZ27OXFE1/kN9N/A0CmNZMEQwLV3dW8vDs6dHIQWfmJGEJmnr35G1a8vJfd3zRyyq/+wGk3/5a0Eep36vfXEAqpxoK1Tz+l2XUXdevfR+dIwTQ2GckZIH9TKy3IdPidvFf9NCZlBIog87HVQkZIxOv6iKD7IwI9yQvanu/umMyT6Agp+MUgijHAxRdfjOTtBEFBb0gi2OcddUoyBn0SNtsEnM7t+P3h/qbiwJ8BAZNpaMKO6WmnEx8/lf3l9/eGgDzeKkRRj17/3U9MDhc/GizfE4LNHkTL4WUJyZLMzX9fj0dWePrKGYwpSWKk0cBfttXwwrY6ZljMLPvjcax94ET2PLSYHXccx0dXz+aJ08Zx65wCchJUyzhjYrSHY0yuWjF0V2XnoOcxqXAsJ5iX8InnLXZVqiGLO9fcSZOnCZPWhEUXTbr8qKWTRV/8CQBnoGZI19vW6aU6GGROwdA9MsPBq5u3AxKXTptx2G0oQrR/RZZlHnl6E3/YXM0ZqfE8/ZujMJn1TCxRr2NnVex7XFdWj6j1k1WokunickcSSGrAu6UdKShhCsnoMqPvbVqBGoLJGRsZrqkpX4eoCQ5Jf2UwHHv+T5HcE2lovwe3M7bBJXQaMCR/98ToUFvYc9T65z8fdjuSoH53WobmUbPbZxAMduDxhKXOH9rwEL6QrzcrSAmFcHz0MaH2yHti09tIMKRw22a1EnBydtjrEahXZ6b6zLDUeVPDLgJaPW9knUeTbyyKpMPTpqa/HiR3Apit6vP3ePZSXvFo7/LO7v20+1JJjRtYl0mr+d8n3boC6v2dnTGbA44DvLHvDa6ecDVT0qZw4egLeXjBw1w29jJSzWrWTHV3NbLHw4FTT6Xuxhsj2up0qCGUkE/GYlcnC/EpeRTPCGsySYoLZJXXNdnWUy9ICZJv+IrWnV8ii0E0e9NovG89GgQexcdFb9+HLHj568I/M82n5QOrhU3dx4KiSl5YpQ680mz0streFmkSXYnXALBbVvWB/G71u9Abk0nUaTH1SAncnK9OjIqLfgvA/vL7es9VozGTnHTMkO+lIAgUFd6Ky7W3t6Kzy7kbq2VUr/bLDwE/GizfAxRZwbOtFfOkgcW3+sMLr+1gucvDfQtLyO2RR7/9tNHECSJ2jYY/XhTJU7CZ9YwvTOSUOXn84vTRLJqiehIWzcyKanvuxHS0CizbPDRJ8d+fegsWKY47vrqbjftK2disxvqfP+H5mNs/s/MlLI63iPMlMUs/MuY2h2Lpt7UoAiyemTOk7YeLrdVebHGtpNmGLsJ2KBSUqLTmz5Yd4ImKZq4tTOXhX81B2zPrsln0JCBS1hTbldpSFcCW2oGmTxFI/UQjusZM2raUoxEELDEE4yafeCpTTz6dYy6NJJM21KxGCprIG3nkHhZBEJgy7VEEjZ91K38dtd7r92P0xJGUYY2x95FBNIW9gebpA6fADwSnpxZZgbS4kqh1bYEQrzW24+9DSI2Pm4wgaHp5LMtrlvPRgY+4dcatvUXyut5+m4Zf/5qmu+6OavO2L/8Pn+imwDUDoyXMfQjUOBGMWrRJ4esqd1bSmJyKLIikdakeWKUndNNeFzbwQ1I7IW8yen0y1dV/x+EoVZf7D+CVY8yaq7+FlQ+DpLapEwVC8tArjP834qCHr2+47uxilSsnCiInjTgJo9bIrIxZAJyYfyKub1bj31+Oc+lnBPsUonX0KYSdP0H1KPgOycy0WkcgCKohOT3ewv3FWfw68H/oJLDXHIti8hI8oIaBA0nwraaTduNyJtjOYFZeISM0CTSLOmr84WylRclzaQ7ehnPK73EGrGzzgd86D4/tBDrw4GipIeRVjSmNwYhGELggIxGLRmRJqjo2JCRMR69PoaVlKbIs09L6OcFgBykpJwzrftrt07DHT6eq+ikURcHp3IXVNmZYbXzf+NFg+R4gOfwgKRhyh69Ou2d3Cw/trOOsdDunHR8mNR49NYvtD5zEmvtPoCRGZd++uLyndsVrG6I9HL5ACAm1EN5QEGe2cl3JjZTptnPzKjU+rFcMMVMEt1e/QmXdi4iaGVyw9Q8UFQ1N1Xfl7hYSEBlbPATNESmkds7S0MNtzR168lKPzD2u9P4vjHe31FGi1fLrq6dHCahlmvRUO6I5LLIs42i0k5wX6aFImT0fRQzhWaFm4MSPjGb3Gy1Wjr7kalLyIgnTLu8m8I9Bq/1uZkLJGSNINN0M5pXs2BipMbKv8gAiIrm5af3sffjQpqai6am5lfCT/mtODQavrw6XrEGvNUet+8P+Om7cW8szdWFvjlZrwWodhaO7FIffwT3r7mFB9gJOLwxr9rjXq1otzmXLooyAra3rCblGMkfz04jlgTon+pxIw267UI+zJzKZ1R7CYQGDKfo8g6EWkJKYOuUNQGBr6WXIcgiTWIvWcMh3pSjw7jWw/D7Y8yGghoSA/2ni7ayMWYiCyO3fhMmi8Yb4qO2+bVBJ6jIywbqwSOPBmmEhSUJTH54gWHrkKKq2tfLR46WEesI1gqigyAf5UQIXmGTG6FeRJ9yIzp+Exh2HooXzin/N6Sm/wJj5Bigi9y1SPSYe+0Qs7iIQVIG5MXbVe7Nct5MnVzej88Xj7uHGuO0Xcnu6j879KzDb8wHwOtRzv684iz3zxlFsCQts5uZehaIEqK19joBfTcdOS1s87Huan/9zuru3sXnLebjc+7DZ+k8F/0/gR4Ple0CwUXX39Z1ZDQU+b5AbXt1KukbDvVcffviiy6PGWZOt0ZyHFocfRYCcfjQ2YuH8+aczKjSJTn0LhqCZOfqFMbdbeeBtFCXApWvPQEDoJW0NhtIOJxMShzhjX/MYPH8SrH5sSJs3OJwEAlbGZ0V3ZMOCEOlh6e72scrh5uTC2JWUC+xmGvzRyr5NNXuR/FayR0bOkg22RIK5jeg6rQQVBUuMkFAseN0uRPMe4qyzh3Exg2PKvEuRumfR2H4/jo5w1k55pSqeNfp7yBASRJGshx8i+Re/wLYw9js2FPh89XiJ/X6vc6jf5gv1kcRlq3U0Ltc+HtjwAH7Jzx2z7ojg6MjdsflYvmCILqkCyZNLvSvMC1MUhUCtE322Db9XHYTiUkx0N/4T85Wqbkt2ewhrupPUnlBfwZSwV0nWlKNRCjGb8ykuuh1JcrKx9FfYDZ0k2w8pceFuA0ePYumGfwKg65mQ/K+GhTxBD2+XvY2syHT6w6HXss7oatYH5RcmpkyEPhMLoScTaOm3K3qXmeP15I9XQ7qbP6umZncHW5ZWAaDRansNFgC/W81S0pjDEwX/IgvdWjcIoLWWk+qbh/6BR2l94kmwj6TB3IEgxqExJyIrIUJIVGvaAAWt30oyXT0nJ5KqU2jt/AylR3dJ0IWNJf0hE6Sc7CsQBD01tc/Q2bWBuLhJQ+5/+yIxcQEpKSficGwGIM42bthtfJ/40WD5DuHzNyFJXry729GmmNAkDU9i/t5/bqQqFOLx8yZhthz+bPnDUjXcc3KMLIIJhQkkCSKfbW+MWtcfBEHg/hPuZVboWPw6D1Mzp0RtU9PcwJY6OwBaWc+uGTLZhYO/7PurumhTZBaUDJHYVfaF+nfHm0Pa/LO9ajr4wuIjG2AVIh0sn351gABwxsLYXqSSDBudikyXI1LboGrXXgAKxk6K2sc6QzViNAJDlryv3LsSURMir/DwB/hYEEWRGfMeAUVkw5qbeoXtmus78encZCR/P0Q8y5w5pNxwPYL28PhfAATb0ehjh2O7gmrnX+uLLHhotY5ibWsZnxz4hNtm3NYbCjoITXzscOJ7u9cjaHwk+oto9IUNVNkVRHYFERIMbP1CzWbpbvUyTZ+AFokluk4yOkOMLtIz/dQzmXjcYhZcdDkAXncnorGB+Hi1xMK3utPx6ItxdqqS/DbrIQZLsE8JkBo1vfdgdff/VeLtnzb9iX9s/0fU8r7GC0BIVo3FY3OPRa/RYygIeydti9RMuJ0rG5AFiYsensblD80jJTeORZeOJinLgqgR2PWN2p9qtQZkKWywxGWPQe/NoqW6p7q7ACNmj6dQygVgojyGN0edTveHH9H2xBMkeGV8ejUtWqNdQm3yaPyE35kOOcAEKjhu/Tfc8+6DIIO7cxsVn80FwJoQO+OnoXMHr6+Yi6QECQRa8ftbeqszDxeCIDBh/JPMmP4h6elnDCnL6N+JHw2W7wiKIrFmzVxWr5mNr64dQ0H8sLIovviinFcaO7lpXBYTJxyZINe3Fe0IAkzPjw4riKLIiYWpbHZ7aG0detp1cXY+KT0Vo0Vt5HX99eOnOWXpiWwJlTKHo2m6Jo/rz50bwdHoD5+uqwUFFs8ZIn/Frbo7aYueScXC1/vLETQejso/8pnCwSwhSZJ5YUsdUwx6cvPsMbcdPyIBhOhMoebKbkz2Nswx+DTJE9SOyZPQOuRzam5cheSPJy1n/OAbDxP25AzS7L9FtGyidK1aasHZEiAYd+Q1sr4vyIqMGS8GYzR/CyCxRwxvjCVyMlEb0PNMq4bCuFxOLTg1aj/zjJkA2I4/PuK7/qT8S5BMjBVKEPp4M0SLDm2KicYva3hv/VJq4/fg0ndR+f59VH/wANM+cKDTeJl+1Hgs9gSOveoXJGWrA13V/pUIgkJW/hx2u7z8am8tdwR+1WswZyYfMoiY+3j5jlJ1dLQHQ0L/Y6nNQTnIhsYNfHLgEy4dc2nUeps+Mgx/0KiZnal6IC1z5mA77liSrrmmt0K72G5EGd2JPS78TY6ancH5f5jJiInJeLoDtNY60Rn1yKFwnyaKGuJCU+myVvKNdg9pt05FY9Rx4xSV0Hv9pOsQa8NcwbwdlSDALr2foM6G1JGE1EcpVwlmc5TyMre9+H/MX7YN0x6YX17P+AoH2i4NUkrkBNTtb+e15QvYvmUJSUoLYs8b4nBsJBA4MtFSm20sY8c8gjhAhev/BIZlsPz9739nwoQJxMXFERcXx+zZs1m6NFzuvKKigjPOOIOUlBTi4uI499xzaW5uHrBNp9PJr371K/Ly8jCZTMyZM4eNG2OLOP0QoSgKLlcZju5SAEIhJ7Vpj6HPGjp/pam+m998XcYcq4lrLuhfsGuo2N/iJNmq73eWfukJhQQFeG9V1bDavW3+LQC8svcVJFmdqcqyzBuNLzFKnsRnp33GPy79G/dPHslo69BCTmsq2snWaslIHaLMu2Ho9zUkh/i2opMkezd67ZF9eGqWkNohvPXxPvYGg9xyXDSp8yAmjlIHkUOzsTrrzSRk9zf7kdi/4Jc4pjT1sz4afmkTGmny91aEcOLsc5Cdi2h3PUZbYwV06tEn/XAHwRZXI/EamXhLbGHEeQnq+3NhZmRGmq7HwFmcNTnmRMN+ztlkPfZn0u++K2L5/u5SEjXj+MrpJ7VPDSxBFLAdnYPb08TS0f/kkzFP8fKUOynLXInkj8PmjecoYxz1f6ul7NW9HPi0krpv6mjZ0UpzxUoA0nNGsblbNQ4bhXSWVh5LrTOTmtbKyJMzWKHgGBBEGKXyFrQ978P/Gofl0U2PcuUXV5JoTOSycZfx9qlv885p75DgVJi5V8amjewfXtnzChpB00vGFXQ6sv/2N1JvUo2KhsZWrN4kMopje9DmnKV6Zte+V47eaECW9Miy6p2TZRmvK4Sic7NP20D1WnUSNXvcAgqC2fxx6/34PGHj3twTqr/mlH38MuU8Fk5fS72pni4pia3BTNLbRqBvVhB7HpnlKy0aQf2HrsrM1nXT2NG8CYCQFOK9NacRJ9XTZpzBpBlfkVryl95jBQKxM/z+2zGsXi47O5sHH3yQzZs3s2nTJhYuXMjpp5/Orl27cLvdHN8z+/j6669Zs2YNgUCAU089NapOSl9cddVVLFu2jJdeeokdO3Zw/PHHc+yxx1J/hGqX/w40N3/CuvXHsX7DSezd+zsAUhNPxpW6hZCha0htyJLMTc9sBAEeu2bGkMmw/SEQlHB4Q4zJ6D8jpjg7ngREPt499IERIM4Ux0OjHqdBV8mzX78CwM6qfTj1nZw/8nwykiLd6LIs0V7ffzVQKSSzq9vDlNRhZO9k98T5p1056KZv71iL7M3Hkrh96O33AzVLSOUZ/WV9FcdYzcyZF1sWHSDBZiAegX1NYe5DKBDE25lIcm5sY66lYS+y0UF88ughnVNHSyNaazVJSfMG3/gIMPvoB5FDFjZvuBGTO46E9OHHxv9dqOnchihASlxsV/a9xVk8Oy6fyzIjuUfTM4/CKgo0u6pi7idoNMSddFJEJe+QJONWGjAFVRbt5NxIj6Z5UirfWnYgKAL3j/wztzX8lFs9xzExU2GORYOoExD8EubtrehX1cEnlQRe2UvRxjORlz0IgoKrT0kO85zf8GTpz/nlmweoajmEUH/ey3DdJshQw0ihSlWjxFP7w6oFc6RYVr2Mo7OP5v3T3yfZlMzIxJGUJJTwpxVZ3PyeTNzqHb3btrhbcAacTE2b2q9Bv37TThRkJk+OndEYl2QiLtlI3d4udHojyFp8vi4OrHuKNUsX4I7bSFeX6hHftkc9tl6r5/4FD9IgNPNW7Ze9bZWOVsPH2S2r0AgSox2v8lLKF7wfLGCblEVok5FgZdgzqKkIl8YY11OvqmXXeciyzGfbf0cGTZgyr+Xiua+RZstnfPappJU8DoCsGX7Cx38DhjU6nnrqqSxevJji4mJKSkq47777sFqtrFu3jjVr1lBVVcULL7zA+PHjGT9+PC+++CKbNm3i66+/jtme1+vlnXfe4eGHH2bBggUUFRVx1113UVRUxN///vfv5AK/T+zd93v0+hQSE+bhdu9HozFTWPxrUETqW1+nZecKGjZ/QN2Wt2navgx/V7TV+8y/SvnW6+OhE0eTlnrkqaJf7VOJYEeN7D+lWhAEpqbHsdflJegfnrjd4pnHMCE4i2ern6LL7WBjuVoDZ87o6DTUNW+8zAs3/Zzd3yyP2daGnc24BYVFwwmBHfM7WPgHOOa3g2765qZaBE03PuN34LETAAX++cYOWmWZ288ePMSUadBT1RUOu7U2HABEkjJiX29LvdrhZQ4gi98XlXs/RxAURow8bkjbHy6s8YnkZ9+L1raL5BHfkpT5w+0Mm7tKAchOjOZZAcRpNZycYu8NmRyEIAiMjUtgwxBCjb5giD+veZeTX7sOQeNB41P5PJecHmloChoBo9aMIihMLxhD8XT1ncn36PGLAsX3zGXM/fPIuGMWCddNwvST0WhOVQc1gy+Fj59+mURt2ENyTk4a7193NFpB5ornvsbl7ROaM1ghKcynEgOqB7TlX7vx7DjymmY/FGRbszHpTBi14ZCeEgoRt0ed4Ha//0Hv8hd3vwjA1LSp/bZXvaeNrrhmCtPy+91m4rG5KLLC7uWqAdHV3EF910sETI1gaaW1TZ24+H1h0vXYkomcbTuV93Kq0eXmYlkwn1XyfsRQCsneLnWj7jpqjbm9+zTVr2fftvBkZvWkcJi3whL2CC5fUYyp820ahBwWjrkp4lzHZZ/M19IkHmrU/0+mtB/2dF6SJF5//XXcbjezZ8/G7/cjCAKGPmqcRqMRURRZvXp1zDZCoRCSJGE0RsaTTSZTv/schN/vp7u7O+K/fyckyUco1E1mxrlMmPBPsrMvYcL4f2C25GBzTaJRfIkdLVeyx3ET+7p+w662n7F9zfURbWzZUM8j+xo5LzuR44/qv7bPcLB6v9o5nTh2YCNgxogkAgIcqIm8b2Xr19BSdWDAff+w6Lf4RDf//PJffFD1AYnBNNITo0mY+zeoBMD966Nr3wB8vqkBrQLHxtCL6ReWJFhwC1hiZ+ccREiS2FalwWTfiyfkZHvrkXlZFCDg1fDPvU2cnRZPyajBSaf5djP13jC5s6m6R0o8PzYBuKuzDMlvJy5x4Gs7iI6OlYTc+cQnDk3N8kgwcuIJBN2LSJ3wDpk5h69n830juHkHdWt+Ts22SqRQdJbWQDg6ex5VXi+1XXv73abL62LOi2fxfPmdNARVQzhXr76/Ego+n4+GhjBv4aSzzwLgza//hWDqo446MwNNj26PxqzDkm0jaWwyGXMz6daJ6ASB2q1ZOP/+FUk+mWyjjrEWE1lJmfz9olE4OxI47v5lyP2EfIzJPV6wNDMdr+yh+YmtdLxVhv9AF0pQxruvg0DjD5eL1B/GJI1hc/PmiMFY9nigJ5PG/c03vcvfLnsbgJ9P/HnMthRZQakzYcgNDsg3HLcgE1Ej4HH0cEQa92JW1HCwec+5tLepRscYMZKHJyKi01kp/PwzDA/cT5OynKAkgD4c/m6vn41W5yLN18Y9My/FrdfTYTESFEWuzPiCahLwoWWso5E7gw+xljlUSgm0Smbmjns45vkWZ5xKRzCI/AMqWvhdYdgGy44dO7BarRgMBn72s5/x3nvvMWbMGGbNmoXFYuE3v/kNHo8Ht9vNLbfcgiRJNDbGzkix2WzMnj2be++9l4aGBiRJ4uWXX2bt2rX97nMQDzzwAPHx8b3/5eR8P6Jj/SEQUD0ZekMKGo2BkSV3kpio5tWPn/83JmQ/z7SRHzB78krmTPqWVP/ZuHQ7kHv0QzraPVz73nYK9DruvvrwRbIORUWrC0GAzAGqMQM8+q2q6mmxhrkdjfv38dGfH+Cd++9AlvtXCR01YgQI8FLXP6nVlnPLxGiBMQBPT+2b8o1ro9ZJssKXe1uwCyIW83dP7Pp49y6koJVrZqv39omtTxxhiwo1jfG4ULjpgklD2qMk3UqHIuNyq0ZLW307ot5DQnJsY9IXqILQ0Iy3UCiIYtyMWT9n8I2/IxhG5CPq/GSmHp4g4r8DTS1zcdVP4puXtDz/23dZ/s5LOB11g+8InFhyJSIKn+6LLYoI8NTGTwnqDnDTuEfYftkGPj9jJeeVqDP4yqou3nnnHf75z39y4IBq9MdlqcTOVF34nml+NYIRS/rPWlP0GuKtOk74eQpBRxx/aCjj4yklvV4h784yUHQ0BnU8+kXs8gMHS1xYTswn4ZwSdGkWAtXdtP5zB/V3rKH9+V20PL6F7uU1KJKCb18Hnm0t+PZ3Euo8vAyTfwfGJo+lxdMSUX1ZNJtBo3o/LAvCas/j41SPV6snNom9rKIGfcBM0QA1mWRZRhRFsvsUMq1oeJyQ1InJU8K0C+8gU0okXbaTZo6cxLhDHjSKBkEQ2F6tKtNpDC1sdauT0+uF2+n2aLh81gSmCHWERC2bEmazoSCTHdNnozPLnMPPeB0Lz2WdSbm+iG7iuGLRBs4/bgcFKdHSF0EpyCt7X2Fu5lw0Yuxq6//NGLbBMnLkSEpLS1m/fj0///nPufTSS9m9ezcpKSm89dZbfPTRR1itVuLj4+nq6mLKlCkDEgJfeuklFEUhKysLg8HA448/zgUXXDAoifD222/H4XD0/ldb2z9X4vuAx6vGkM2m3Kh1pqQ0UkoWEJ81DnNCNqbENFJzj0PWeuiq2Y4sy9z41HpcisJTV87AaDiCFM5D0OTwYdIN/KIGgxJ+ASyKQGZamI9Qt2enem2OLlqrKvvbHQC5J2XmHwue4dTpsRUVtf3UvgHwe4Nc4DJwtuP7YaG/t60cQePkyunHkG3NZmPTxl6i8OFAEaBLFogTBNLShxa6G5VjRxFgZ3kHAF3NfswJzn5nc4qmCr2mYEhtV+5Zg0bvJjv/+KFdwHcAd6AZnwwplu+nQOV3AYcchzu5nRN+kUh8msLuLzN4+felvP/3J2mq3THgvsm2AkZZLKyoj+0RBKjorALJxOVTT0AQBDLjEpk4KQMT8MGqSioq1InArl1qocO9depANTp7bPi5D+apN2gRQzJFEyeSkN1BsF4i3aCjrbGel+99nZ2fpzJLUvvHv6+soNUZbWAcVF2WQjKWqWkknlNC2s1TSb5qHPEnF5D2qynYjsmh+4tqGu76lrbnd9Hx2j7ant1J00Mb6fr4wA8upBCUg7y5T5UzCEhhz6Wg1WKepqo82884A4CGsj3ov64CQKeJLRGxcdNugmKA+VPVfRVFYeXLz7Hp4/cAqKit4fHrPufj5Ss46efjSUk0oNd5MdrrcJl3oBeS0CWYOH/hmZyRfBRpP40M5Y4JjqNe18zsfy5gwXhVbVfvLOTSmnm8aL+Zj7zjKEqxcPvIJh4+Tw3/VCdYQV9AXqJMUNHgSlnHU+lxdOzrZrr3JWYoa/odGz1BD3/e/Gea3E1cP+X6mNv8t2PYBoter6eoqIipU6fywAMPMHHiRP76178CcPzxx1NRUUFLSwttbW289NJL1NfXU1DQfydcWFjIypUrcblc1NbWsmHDBoLB4ID7ABgMht5spYP//Tvh9VQhCFoMhqEV1EsqnA2yho7aNTzz6nZWOj08eEwx+f2kxR4uOtwB4k0Da7g0tqm8il9MyY14+f2eMN+icf/AheMu2Xcnl++/mxlFk/vdJq2gCAQr1rSrWPNOecS6fWtVwq9NEVi7eeiaMEPFnkY3CfYubAYLF42+iJAS4rW9rx12e4oCO5BI0w3duGzt0WBJtashT1ebnriU2G7agN+D1tw4ZN2DhtqvkQIW8oq+W8G4geD1teBRNOh+QLVFDoXQrQdLiKIJkzjn5vO58O7JFE5TaNqTz8ePlxEKDczZWpA5jZ3OLi5/9wGe37yCqo6OiIG72dOClsi+JsFuZLRBT0WnuzfBYPNmVXhrV9U2tLKWkpJxfapHD2wICGYt2p5QT1yyDldrPJu/+pq3H9iKp0vHnAv8jOmRAZAVuOKFaI7WQQ9LsA9pVxAEjEUJ2OZloUu3EH98Pik/nYB1QTYpv5hI5t2zSb91OvEnjcC1uh7P5pYBz/PfhWCTm7rbvmHXHUsp2JPEopxFUYq2mQ8/RNZfHsN24okA7Fi9AmNAnbi1d3XEbLe5zIkzqYlkq8oPady/j00fvcvKl57F3dXJ+299g042sOvbOrRaETEokxqXwIScp4j3zqV4vJpCHndMDmk3TEY0RvYN4/fmA+AydPLJ2q8AKDDE042FO5umIggCb52bhvjyEmzLryUxcTOtQjpS0jSmWL9kW/rRjE9VcJsEvsrdQ1XrF7iC/VdOfm7nc7y852XmZ82nJKH/DMb/ZhxxLqQsy/j9kZV/k5OTsdvtfP3117S0tHDaaacN2o7FYiEjI4POzk4+//xzTj/99EH3+U/C463GaMxGFIc2gGmNFsz+IrbUlPGnnfVckJHAyScUD77jMOEOSKTZBhasy0g2kyJoeK60lkCfMukmW5hMeWiBvb74tLWLl2aPwKUZmMex4MLLMdovJBSIY/fqyNpFFVvUztClha/f2T9gO8NFMCTR2mllVIYaFrtw1IVoBS2v7HnlsNtc643jW0JcO7P/zKBDsfVABxZFYERuPLIUwtuVQEJ67GfT2rgXQVCwJw7NYPH4N6EJTUTUfHfeucHg87cSEoan3vzvhM/nx9qZTHJh+BwTUpM4/tJTOeHnyfidCWz9etWAbYxLUfudTc5X+fPO6znlw6OZ8OxC5jx3KWe//gcqvWtI1kY/ozi9Fpc/7MHLzFQnMq1dzRgUHRqrDpW5rXInBoLGqkOnKMiyzPwzTkAOGVj3FlhTWzj/97OZfNRJiD3hodn5ieyo7+aD0sisyoMellBoYB6DIT+e+OPyMOTGIRq0aBON2I7KxjQxBcdnlSiD7N8fJMlDecUjR6wHAtD1iRpeSw4lcFXLmVzgOjnKS6lLSyPuxBN7l5fvK8PmUb+NlaVfcigURUFoMxGXEza+22qqen+Xb1xLyKs+J8WlGj5anUgoKJM6ciHTTv4X8bn9E+9lWSZegqcq/gDAnZW3AnBM9jEUWNU+YH5+Egmtapoy/m4uTg0gy0aeNCfyc+kKxp71N9yaHvK0Xb2uzpD6XH1lZVRfdjmerVt7j7m+cT0TUybyxKIjDX//cDEsg+X2229n1apVVFVVsWPHDm6//XZWrFjBRRddBMDzzz/PunXrqKio4OWXX+acc87hxhtvZOTIcMrYokWLeOKJ8A39/PPP+eyzz6isrGTZsmUcc8wxjBo1issvv/w7usTvB15vNWZz/rD26QzM5tadJzJCq+XOn353vJWD8AVDSLJCTuLAg4pOp+HuE0bTrsisKg2nNueOU1Mi7WkZJGbFJnKGQk4e2PktLVYNWycOnHoe8NsANXwSCkgR6e3tdS6siQYy56Rh7wixYevwUqwHwooDZSiynoUlqnEhiiLT06dT56qj2T2wLtCtH7/Pmc+/FLX8ba2DKZYAS04eWkFHgJ2tTgrNRgRBoLm2EkUykJwT28jrbFONtqS0wQ2WrtZ2dLbyXs7Uvwui1IaiHUK9p/8QKuvrERDJyo7m2OSPmoE97wDbv3LQUleJ3xtbNHFn61I81dcg197AX+a/wHkjbmJcwkxErYcy71eYyebuo26I2i/eqMUZlElPV/lJujSBE55fRK4tB7fGS0Njbe9gGl33OxK6OD0aQSDgDGJLSGT+xRpGzGzg3FvPIy5BNYTEnrb+dNZ49FqR297ZTiAYNpi0uoMelsMLg8Ydm4vsCuLdeXgGx/7yB6mu/js1tf3zgYYC2RfCX96FoSAe6+XF1Jqa8ZbF9pj0RbDBhMWrBQX2aaInRI2trRiCFrLzwt9jX5J2V3MTUo+xJiao91AhQtm/X/gcfip/r4YV8wIZLHGeC0CWp4hfnHQZ18zMB2BVZTsNfYTlrrC7AQWTpZwrV6+h/qLLmZGs8qNMQfV5OyQBp6+NjmefxbNuHW1PPaVerxxkd/tuTsw/EVH439WDHdaVtbS0cMkllzBy5EgWLVrExo0b+fzzzznuODWtct++fSxZsoTRo0dzzz338Lvf/Y5HHnkkoo2Kigra+pSRdzgcXHvttYwaNYpLLrmEefPm8fnnn6PT/XDdzgAeTzWmQ/gr25weTtuyn02O2Oz7pe2TAPjZ8XEYjd/99e1uVDU/itMGTzvV9Li5LbYwhyQlbwTn3fUgZ//+3pg8C1mW2bz8UxoUtf21/UhFH0SwZ8aZXhCHLCnsW68aC45WD6GATPbIBM49eyQuLXz5HXpZXt60E0Q/Z4wNp7b+csovAbh06aXsbtsdc782t5M3V+vYsi+RTXWRmVKdRheu5K4hn0MoJFPtDzAhQ71X9eUqtyGnKLZXzdldjuS3YE8avKhgddk3CKJEXvF3K8c/GGy40Rr+veT24aC2QQ0t5mVFk5oFQWDqSVn4HPG89cdKXv3jxwQP8QzLssz71cvRWvfgdqcwPWMsfzjqMl4760FWX/IW2y//lvVXvMWcvGh3uywrKAIsWbKE4447jpc6XqZBbOGPDY8CYImLO+hgGZQbootXuV/eVpVYOmHuQhZffjH6PtklBw0Wo1bD3aeNxRuUuf710nAbMUJCw4EuxYyhIB7XuuGHa9s7VlNfr3ozm5s/QjmCbJVgswcUiF88AvvIdLw5EN898ISssrmKBGMeGkXA6tWwviM6ZLa3XOXoFRWEJ2bWpHB23tgFCzG1qX10YqL6NxSS0fajk9X3mVa/vR9DHy/aNWMu48Hxj/GHo1QphlPn5pDZQ4j1SOFnap94BmZLOyWYSGmpI1hby3miOrFNsGcACqNNEjqNEX9Pf+JeqXoMK7oqCMiBmEVp/5cwLIPl2WefpaqqCr/fT0tLC19++WWvsQLw4IMP0tTURCAQoKysjJtuuilq4KuqquKuu+7q/fe5555LRUUFfr+fxsZGnnjiCeLjj7BQ3fcMRVHw+WqjDJYna1rY4HDzeHXsWfzU4ncB2Nxd/b2c1/Y6VSxqbObgfJ6yHuNmzCEcmuzR44hPjZ3FsuLlfWx+Pw6F/lMA+8LRqnI4Ji7KUSWpV6oemR0r1L9j52dh0GtJm5lCXFuALTu+m5j53gYPSfZOkizh+zA2eSwnjTiJBncD531yHhd8fAH+UOSAdednn/X+fvDLNRHrFFlDMDT0Ugub97QSEGBmsTqDq9/fgsHWSXxSbMKqz1eD7E9HEAc/RlvbGiR/AgnJw49Tf9bq4JzSchoOqaUzGLo89VhEObqOzQ8Ira1dKMjkZcT2DpZMOA57rmoYe9qTef/Jt5H71NpZUf4iTQGJSyePAEXHi5vXxz5QDIOjxuUn22wgPT2duXPnRqybI00lxR47s6qzs5PS0tII76MhUTVYfO39Z+scnOlLksIFM3IpSbPy+a4mttaomXm6HuJ9KHT4xFnLrAwCVd0Em4ae/hwKudiz5zYSEuYwevRD+Hz1BIODe0T6Q6CmG7Qiugx1YJc8Iby6gd/d9e8uZVHSGCYpReS7ExB90fegtrqVoOhnVH5YuyZv3ESsiUmkFRSTkJWDPqB+u/GVLbg9Abq8EtoYI+Y777zDY489htvdU/TWqN5782VjSLxpKjkLczh5yrHMHaMaHxaznj9dqHL/Wqw9HECjHXJmYtCBxxsO09s+Xcuq81bR6G4kx5bLeceXY9RZewsiHkR5xR7uqb2WkkMref+P4X/Xd/Q9wu9vQpb9mIyRs839brWD+aI9WhOmrqOU9NAq4kyNbKjxRq0fEBufhS/vjtlR9kVZj6rqxGz7oE1WtruxIRA/jJTi2j0dKLKBlKB6nOOEgd3FnY0qQSy9IB57qpnWWiefP72TbV/V9i4HOO+c0Xg0Ap+9NTDRd6jocmlJt0e/2g8veJjPz/6caWnT2Nm+k6uXXd27zhcM8Pm2EPlZLYwvbGPLfiMuv4+K9mYWPfk8Ho+dTod9yOdQul8VCZw6Wp21tVUZScrr/7kHpSYEZWgCegFlC1oltoT8YHiwspFvOl38q2F40t31HSqJNDnuhzuDc3S58Ou8mPSxeUKiqOW8Wy/np3+bz8xz3bSUpfH5S2/1rn9r30uk6rT85qib0Bk6+GRHjIlFzXq4PwvWhwvvyZLMfn+A0X2EHydqxhAnWUgPJXNqsVqbKJwlFP6O3333Xd5//3127w57/Yw9Id3AAOnFBz0sB3VYXrhsBqIA17ykapTodEfmYQEwjUlCtOpwrR+6l+VA5V8IBrsYPepBOjpWY7WOQq8fmq5QLARqnGgTDAgakfuf3cTP62w8SfeAGX+T69RBe2TBWaTpCkkMRk+Auxo8uK0dGHThTEa9ycyVf32aC+79E/h8GH3qNyKVhXjy3nUEgjLSIcUkPR4PO3bsoLu7m3371P4r5zT1+C2fV2NOja0KnZuiGmClXfFw2Sdw2ScEBS0ur46+OROmCRN4afdLKCjcMu2W3uW6LFX+wDSlx4u83cV011hc/6rAX+n4wWV4fVf40WA5DDidavqvzRbZeQ9UZ+yb7TfilUVSk2VqWodBlPR0wCc3weo/Q+2GATetancjAEnWwY2Qqk4vafphhqUE0Bu13D5pFjlGPTdPGZhD4ehxaVvsBkbPzUCWFMo3t2Cy6ph9ZngmYDJqsU1MwNYSwOn099fckFDb1YHfZ2NUWmyuRYYlg+dPfJ5ZGbPY2rKVp7c9DcCHe0oJBeL46bwx3LJoJrJkZuFf3+HYP3/DgQY1rBOnH7rnb1JREoICT7y3h662RnyOZLJH9s//UMRm9LrB04XbGxvR2apJTho+f0VRFPZ71EHwL/14AftDq0NN081K6D8r7D8Nd1cAyTSwhohWq0er0zFt4akUz2/mwPokGqv20dq9j/WdLSzOnYdG1DA6J8T+emPUAEXpy2p15A1P9y566e3deIBRfbyV89Lm0q1x8/LZr3HCyPkRA8hBDksoFKKuTtWIOZhVpC5Xj6npKTKqKApV27fic4UzRA41WDITTFwxdwStTj8PLt07ZNLtQBC0Ipbp6Xi2tCD7B+fCOJ27qa19kYIR12M0ZtLevoKU5MNPuz+oD2Oemoa7xc3T+5tJ0Aqscadx4avPxByUN69bg0UKh4xsQR0uIZqvpN2fjL07+nvT6vVotFq27duFz6R6WNqTJmLpVL0etYeUPHM4HL2/ly1bBoDOqsMrK0gd/b+LOWlW0kUt7++p4/ilZZz4/kbm/PkVgv4ELp6dHz7/445lXeM6BASOyTmmd7n9nLMRDAYSzj+PutpKRlQm4zL5QJJp/cd2Wv++DclxZH3pDxE/GizDhCwHqal9HqMxC4Mhckaca1INhXn2SJ2ObTXvkyrXQNIS5hRm4/cmcqBjiCTT1j6qm5tfGHDThi4vRp1mSDNvRyCIRTs8YSGfK4jBrGVJWgIbZ49hUtzANWVcnX5ErYAgCEw+LpfCKSlklti56N5ZTDk+Mttm6sxMRATWbTyyFOfXt5YCGi6YOmbA7Z5c9CR2g52/lf6N3W27Wbb3AAhBThs7iaMKRmGPb6Olw05+hpNlN87DahjevZo5IY2TMxN5s6qFpR+q+h9Fk2JnFchSCI2hA5NpcH5IVdlyBEEhf+SiYZ0PqKTBwy3e6/RU4ZQE0qzRukM/FAQdgG3opSaOOusMdKZuvnl7Pf/YdCchReCCiTcDcPqEAqSQhY/3HqLd0tVTw6c9zLn6YI/6LR8zJ/xOj8tTCezVb75G+YKjaPv73+nNa+6xIQKBQO+gW1kZ1j3y94SCDImqp6hs3Wreue8PfP7UX3q3OZglJPXhSvx28SiSLHqe/uYAHV6VQBo81OA6BIqisGLFCnbu3BlzvWVGOkpAwrNt8HDt/vL7MZsLyMm5gmCwnVDIidU6dJL6oQh1eFECMvpsK9urOlGA+04ay8IJIdbvzOYX770csX1t7QFMHznpMIY93DmJuTRqWnG6HAwHq+uilbFftvo4cAh9pm9fa7fbe5cFc+Mw+kLRBm8flCRoKfNKlFWnUdWso63TwjHjKjnruMWk/fZ2Mu6/H21SEjXdNSQYEiKOZTv6aEZu3UL8aaex96P1SIJM6nWTSL1hCkmXjUVyBGh9Zgeyb3ilV37o+NFgGSaWrxhFV9d6xox5NMowuCQzCYtG5LKssAtUlmV2l91Dm2TglIl/5LSxqlfm/Z3bhnbAUB8rvbafmHoPOj1B7OZ+vCaVq+CL30PIz6ZdLVSEgtiHIVjXVOkgFJDJKBq6l8Hj8GMwqccQBIETrxnPGTdNwRBDJ2bKuBQ8okLZEdY9+WpfHXpjB1Oz+lcSBdBr9Lxw4gsIgsCVX1zJtlonCfEOLHrVRfzSZQv52yVZLL/ucoqS0wFh2G7WB66aik0UeWqXhD6unYSU2IN9Z1sdgihhix/YYGmpO0Br1wtI3nTi7MM3HERBIMug3vsrs4bnpvf5m/Equh+0eqbg1mOMj+7SuttaaSqPrhFkMJopWSDTUp7JRxW1nJo1jkxbPgAXTJqJoPHwxpZDCNpC5PWHQjJbfH4uSrf3vusAkqgOVPrVKuGz+5NPEQ6mNfd4WAwGQ28fMmZM2MD298zMDUnq6Fi1TU1dLd+4DqWH66LpMVjkg++kLCMCT108FVmBa99WB9yBBkxQOYUrVqzgnXfeIRCI5oZoE4wYRybiXtc44Pvf0bGGzs61FBXegijqercVjiBjJVCtGh66NAtfV6k8mGs+2skibQG/yvySeVve47YPVSE5t9tF3fNb8WuD5Nwwk6qj3Ug/y2Dm3ONRBIW/fvYndpWV9rbtzK3Dldy/EeZpV5+zy62GeS5/bD5T0qzs6oz01iQmhr2m8+aFi5DGlSRgEAQ6y7v6PUab/QsAtHFbWZSzg19OL2eT9A+Of3EhL1jqsJ+piuA5g06ybNEK2IIoIssyKY1WmvNcJCalIIgCplGJpFw9HskZoP2VPT9o5eLh4keDZZjQ6dQXNMEenZZ8fHI8FQsmcEqqvXfZyn2Pkyo6SMv9BTqNganZuWi0HlZXNETtHxNxfV7URX8YcFOXP0SqrR912Q+ug2//BjveYt0u9UO9bvHQND8AqnsMCVvCwBovfeH3SliHuL1WI+K163DW9i+MNBgUReFAo56C9IFrgxxEob2Q22bchivoorXLQHFa+FzHZ+Rw6phJvf8WhN6J8ZBhs+i5a/EYqnUyTQNkA3e2qrNre1J+v9tU7lnLjrLj0Nkq0MhDf26H4vKsZKwakXMzhpeeHAx2EBJ/uFWaQ1IIo9eKLSFyCqwoCm//8Xe88vubaa+LVsN2mZMQEPnpmDP546JXe5eb9UZy0roprTxkhprSc+8zVe7Amx/sAWBmSWS6+qo9yzHIOuK8aiglUFERFo7rGfc1Gg35+fkATJgQ1j0KdqmufHOaei1eZ9hj4POoxM6DHpZQSIFQAJ6aB88sYnpePItGpVLeqn5Hg3FYDpZAURQlwsvTF5ZZGQQb3ATrYn+biqJQceBR4uImkpx8LAB6fTKCoMfnH17osS88pa0YiuxobHpuXhI26B7bUskvna9zkfYrHOt2cs+nn1P+6Dekeu3EXVhEQmIy8048kbz8Ikry1f3ecH/A49/+pbcNrUlA8MeesH3w0X5s61Vv2cdFWp7OqcNs0jE+M47yYBB/H1KsXq/n+OOPZ8yYMZSUhEnwiRPUCUHXnv4Jx9dPPAljxtsY0z9gleZTnu1WPUbNmnaed73GF+s/5oZXf4qsyBTExxZS3fztNyQF40kcEylgqk02kXThaIINbpoe2kjD/evpeHMfntKWQXWAfsj40WAZJkqKVaPB749dn6IvgiEfrXX/pFm2s6D4F4DqaUhP8lDRNMSXJrkEMiaBORkKju53M1+gR4MlIcag4u2Crh4C4ZrHOXqaagQ9u7xiaOcAjJikdsjKEHmeQX8IRVaITx260FhSvg2zS2Lv/sPLKtjT1EbAb2Ne8dAH4wtGXUCBYSFKMIn5xf0L4YmCcFgf+phCdXZTNKv/VPO6CnUWl5QWu1OSpCAHGi8GwChdxbjJtw77PA7iurw09s8fz0Tb8IwPQeoGzQ83e6+yqRa9ZCI10x6x3NHSTGdjAygK+9evidqvoqwZl7GTy+dEZzQeOzoVjyeR0vqa8MKZ18CIBWrVcOCjjXVMRcNpiyMztr7tWMckcSwac5/7HEOH5ayzzuKiiy6K0KoKdfsJKgraHukDQ582DCb198EsIVlRVM9ryy5o2AKNpTx54WQMPRwWtzdI3R/W0PFW7CrUfZV/W1tj92nGkgQ0dkO/Kc5tbV/S3b2NwoKbEQSBj1q6+KbThdGY3sv3Gy6UkEyguhtjSYJ6Dnota2+YT5FWS7zQghBUPR3Xmd/DukpDksdKy3iRwpGRFbNNBhMvTP0nhVIuQSWss6I3axGD0QZLQ5OL/UvDzzu5K4czpqtKuBNLkgkAu3dHembmzJnDueeeGyHFYUoz45MV2lf3r1V17OS5FIguiuWwN/iquIu5P+cORkoF3Lz3dpYHVT0Xe3m0V7qjq42Mj9XnPHpSNLfMWJJA+q+nkXjhKMyTUgg2uOh4fR/uDd+d5tW/Gz8aLMNEYuI8RNHAnr2/IRRyDrjtZzvuJEnjZ8zIP0RI4I/PtuDoTsAdGIKrThDgyi/gl6VgSuh3sz1NBzVYYtS56RtWatvHuIIEisxGVtd34htijDMpU223u2VoGU4t1er5JGUNre4OwJlLSvDoBN5/vJSaxuFX335/5y5A5uQxw/NAmALTETUefjprQb/bCEIf9/sw8MX2rQjInDCtfwl9Z5v6fOqrYocJaw+Ei0dOnHMOadmHzwsADiu7yIQHrX5wjZj/FHZurgKgKC8yrOZ1hrkLa96M5DwAeBsUhDRvzHty5Yw5gMSLmzaFFybkw6UfQbHqSXCjkHJI2MPrdbODfcxKmoVxlPouWuaHi/L1NXytVivFxcURx5ddQYJ90tuzRqlegtxxExB7ivxperaXJBkcfTxHm57DqNdy/xlqbZrNZW0QlPFsbkYORBNnbX3UrfuGpfpCEAUsM9Pxbm9F9kRWwA4GXGzf8TMAEhPncsDj5+pdVZy/rQJz0mIaG99GUYYvXuev7kYJyhgKwkbylu3NlIdCzM8Ie43Ghmr4MkudjCmm2KT1qeNmU2wowKOE+0GDSYcmGG0EvPL8DjQyBEtUdm2SxsUdxy0GYMLYVERg277Bw9a1L+7CKAoYB/jWdDodn17/Fu9d9Rq3tt/Ez5rO4bpTbuHUhefwwvmv8EjWvTw77v+4q+M6Ti+bQ11NpAfM3aG+25WL3JjNsftZ0ajFPCEF++IC0n41FeOoRDxbDt/r9Z/GjwbLMKHXJzJh/FN0dW1m0+Zz+jVaXP4OpLb3aBSymZSzJGLdopJ8UPR8tm+Isw+tAQwDi8GFNVhizIJNiXCwhMACtbLyH88Yh0tQePaDvdHbx4BGKyKIAt1tQzNYmivV80nLH3qNp4xUC0t+OQmNpPDSQ5tp6xxe+veXe5rQm5uZmD48fZKApKDVBtBr++f0CAxesy4WVle4KU5qI9Hav3fiuAvU9GpHV+y07t3bH+w9i02bziYUGrouxneBYMiHRZAwm4ZWSfo/gaat6mC09bWWCK6F3hT2Tkw87qSo/USPAWNC7OeeFZ9EnK2LdQf6H6D0Ji1KXGRW3uZd6wmJIWaPnEvSlVcQf/ZZpN5y85CVbvGGCPURKBt39HEce9UvOP6nvwyf90EOi0z42wawqaGBs6ZmowcKA/QK1rW/sifqUEVFRej1ejIyMkhI6H9CZJmWjiIrONdEhrL9+7rUH4p6vpu61XdTBvbqVWJ4ff3rA19vHyiKgiwr+Cu6EPQiuszwQNzZU/V8dSB8vx8RzuHT66+kUiPjr+zsXV5ZWck333zTq29j1pjxKl7KO8t5cP2DmEwGdJKBYCjSADNXe5FyTfzqppmMvDif+393fO9zs5j1jNBq2dEwMIH32ydKWb6hhZCiYDsqtibQoThmyrGc3nkMjcvVrDGr2coJxy5hxtT55EwbiUk2Evq/asorw89QbFEnm/6Al3WlA5ec6L2+ySkEapyEhtiP/9Dwo8FyGEhKWsC0qW/h9VZTXf0PZDkYtc3SrTdjEiVmj3s4at1Jo9TZz5OrtkatO1zs6/GwTMiJMTBq9TDqZJUwOOpkAGaNT2O00cjLpXUR4lkDQWcQ8TqHJjjWXq92XGkFwytKOaookYXXjMPsl/n7fetxeaLvbSyEJJmqZgNjc0PDlqYOSQqiOPg9EIYomHcQzV3NbK5P5KjCgdPHpR75dI0YnY4e8HkwJOxD9hYwsuQuJMnJps3nDOs8jhSN3XsRBbBbhlZJ+j8Br10NI7bXu/nob2FPVUJ6JkarauyPWRCZWdXa1Y7JZ8OefEiuah+MyzHS3G6LqA7cF3pRIHBIqHBD1TpskoVRBePRpqSQ+cc/YuwT8hnMYBH9ErI+TO4VNRomHreY+NSwh+tgWrMky2FeDcDE83t/6lCN7LgT8tBlWvDv68RfE+m5tNls3HDDDVx++eUDet40Nj22o7JxLq8lUKf2NYqi4F7eQmbp9SDItB/YiLNPKYBNPjU06/cPLQQhyQrXvrqFwt99yjMrKnArSoSQYqinnypvS+Fzyyy6FROfBmcAUKXrIr5NPS9Zlnn77bf56quvKCtTQ2GppjQaxRau+PwKXtn7Cl83L0NApLMne0iWZZ5+Qa3S3BZUQ2PHzisgNSGy/xpjN7O7K3ZZBwBXq4etOztwybA5yUzBKUP7ZjLmZREAHDGSDqbNWUDjcSGCQoimN3bicHcB8EjD31im/ZjbGv7A1duuHVJSgGlMEoJBg/u/1Mvyo8FymLBaS8jKuoiq6r/z7bdH4XaHqxG3Oisxu76hXT+OwpSZ0fsaDGi0Xtqd313GxUENlhRrP6TbM5+BX+2AzHCs8+fHFNKoSLz7VWyy3aHQGbW4nMEIVc7+0NXiQRAF9MPIRDqIqZPSmHhBMfEuicfuWzskLYnl5fuRJT0njB6+0mNIUhDEofhPhudjeW7FSgCuPOa4AbcTNT1F1uToAaOtSfWAjcj9A9nZF5OaejJu9z7K9t83rHM5EjT1aLCkxh0+2ff7RqBVxJlTT0ZxPLW7O/jyeTW7R9RoOPO2u1h83c1klkSe//sfrgABjp4zrd92F43MRQ7FsaIidjkHnSgS7GOw1LZU87z7NabpJqDRRH7fwiFpzf1BE5LBNPB3czDCrChA+niY8VOYcwMkhd9/HQIhwDoni6RLxoAAHW9Ee/GsVit6/eDaTXGLctFlWOh4Yx9KUMK3r5Ngg5v8ky9G60+kbu+/SOpTzfwYvZr6nZxy7KBtK4rC3R/t4vNdzVx/TBHjZQ3lpsjvoa1d9T5odBKXT76P6QnPciCURU1rI6t9elJlE35HO93d3b2qsxs3qllas0bMxiv66fSrXpiWkGpENbW2sXZrKY8+/BqBdepkb0dS//zE8dnx7A+F8LpjG7Dr/7UHDUGMJi0dDUP3hGq0IiFRQAlGh89Ejcj0RcdQN9tDflc6255Qs4v2Vaxg+jsfcuvb6gvl8g1MUQAQdBrME1LwbP3vJN/+aLAcAQpG/IqiottAENlffn/v8lV7HkIrKCya9Od+9505yofTGT9o2uFQ0ejwYdSJ/c+StHqIj3TpnzI/lyyNln+uPhB7n0NQq4RQgjJ33LqCwCBF1dxdfvTGwzfIFi7IJf+UXBLagzzz3OAp4C9v3gxCgPMn9M8V6Q8hWUEUBn4OgiAMJjQcha/LvEzLaiE9YWDuhyR3qcdQosN+7h4OhjlOddePHfMXDIYMamufo7NzU9T23wc6nKoxnmnvvzrtfxKyLKPvshGXoeeMG6eQkGFm3/om1r6vnndG8UhGzz8mYp8OVxeOjVoCRa3kZvYv2Ldk3HhA5pM9sWtd6USBQM83LMsy1338cwB+Of+m6I2HyB3SygqCZWCv3EFOnCTLaruLH4bj7+1dr0gyWiAEiHoNWrsRfX48UrvvsLU5BI1I4rklhDp9OD6rwrWqDn2uDWNJEimGxXRoVjBNq2AUBVL0WsYa1HfXZh3Y0A2EZB7/qpx/ra3mxhl5nFmQQgEixpxI78bxqS7ujGtkzpztyBotcrJ6j05/chUHRDWzylGxi2Aw7JWtqFATCyaODhulP53wU3Qm9f5982gDW/7RgVgfR/zxHh5J6iAlqX/e3aSSZELArhhlRBRFYe+OD/F0/R8+dwO2pKFnVALoJBntAIVrjzntNHZNb6agM4MdOzcztVxBo8D4agWTT6Hb0TWk45inpiJ1+vFsGzxx5IeGHw2WI4BWayUv92oSE2YTDIZdrUHHGlqFDNJs/c/2FxRlIktGVlcOPVNnIHS4/cTH0DcZCKIoctn0XMoCAVZvHlywrTFRg0tQyHDButKBXYo+dwhT3OCztoFw2inFePMt+LZ0sGtf/1Lysiyzbr9EfoYDu2noJN+DkGQQB/GwCAwvrbmpq43yjkSOLhk8Y8nlUMMZkhStTFlT9TqypCMxJR9Qn9nUKa8joGHb9iuQpO9fY8HlrcEjC8SbYtfD+U+jsqEOQ8hMTl4qgihw7u+mozVo2P1N/+/0y+98hCFo5sxz+idaAyRZLFitnWytjj17HZFgptTn5/3Pv6W1up4Dmlp+l3cLhfnRg3Qsaf5DIQcl9IDGNvC33KvD0s+8QdCIaAEywuEu6xyV39L18dAmKAD+2m6aHt1E/Z3f4i3vRJdmIf7EEbjWNBCoc2Ick4QgCORM/AmyzkNw14d8Nq2Ej6cUU9dSgTsYR1lL/4qr22q7OP6xlTz2ZRnXLyxiyboOtM/swohAUkkkp2bEtEnM1Sgca1hGnOLg5MzPmZJ2gE6flXElDcgaP56aBiyW8DUvWqSGAbU6HWnOPEwBG+eUnMMrlz6Ld94BEhf7GHO5mev/fCLxo7JQJBPzi/o3YMeNSUUDbN8f3R81bmvF59uJokgEfXvJGtk/JygWdIKA0j2wOu3Mk46lXdtFwzs7sLvD79GYWgXpkD7M4XDw4osvsmdPJHdJnxeHeXIqXe/u7w3v/bfgR4PlO4A/0IrBoKbE7m1eQYrGQ3raaQPuc/rYSYDEx3uGRnodCLKs4PCGcB7GzOnSxcXEIfDSisE7seJ0G0/H+ZBQ2FPav+iSLMtIQRlLDBGv4eLqX0zGrxV4/+kd/YaiPtizGb83kXOnjTisY4SkQwwWRYFXz4cXT+sdEQRh8Cq7ffGPr5aiESVOGaR8AUBy2mhC7lxaO19g48q/4veqM9PGqr0o5q8wyRdiNIe9LyZTNiUldyJJbkpLLx/yOR0u/P4mPMrwZov/TuwsUz0pY0vU9FCtVoMgqJyrWFBkhcAWG6HCDkbkDk6KLMqQaWi1xHz+N182BYsQ4svlDjaUfgPAhLyByxcM9B619nAYLFkDk+x7lW4HaEsnisi6sFfHPD4ZMd6AZ1MzwY7BSZfd39TR+uQ2Qq1eFL9E52v7UBQF65xM9Lk2lICMJl6dlNiSirD4x9Lc9T6jLCbyTAZqWytocidw2XMbae6ONqx31ju48Ol1xJv1vHfNLBxbw31K1fFZTJwZ+WxsecUIcRomlc1i+5yR/GXho/zh9IWcPqaN25eciWTvQmoMYjabycvLQxCE3nTxzsYuzth5E/MrzyHNkobVaOGWi6/igtMWc8zMWeh1Ot7dsR2EIGeP6z9EaDZqGaHTsaMxmnh7YE01KKrBIfk3MWZuZtQ2A8EjCtgGIcPazXa6Fmr5Mn4d/j42bVOCQM4hwpSbNm2isrKSr7/+OmK5IAgknFmELt1C24u7CLb0z8n5oWH4BIMfEQWDPoUuh1p0rLTiH1hlgUUlPxtwnwxbImZLO5urj5zH0upSPxJ3QCIQktHHKinaD/R6rdq5dA/egbUFgoiAO06Ld3M7X42sYdH8aMXV6p3qzLZ+3+GLwB2EPc7AhCUjOPB2JS++vIvLLxkftc2za7ej0cZx5YwTDusYdU2JSHKf59C8E8qW9qzcCLmzhtWe1+/h/e1aji/uJDNp8Mwarc5IWvJVtHvvoFvax/aNEpNm/oJt225G0CYx5agbovbJzr6IlpZP6exaR23tS+Tk/GRY5zgsBNsJigMPoP9J1B1oxa+1kp8VvtdSQMaQEttLUd/YgskfR/rkoRG65xalUbpfZmt9PVOyw4PoxtoDHGhvw2tw4g6a6NjTAFmQk56Pw+cgJHmwGuwYtKqbv9fB0sOFkqUQHeUbetJ+FUSNlrpvarFaQphz4qiudOJV0jDodGi1Inqd+p9Bp+n10sgD8BB0AgQPqcWQ/JPRtDxRSsdLe0j75ZR+9218cANSlx/BpCH1F5Nwb2zCtaqe7i9riD8uD0OhnUCNE7GnZIXH4yE9+QwqnH/EWb8fa2YRXm8d3cFkJEXhD+/vpCjVytoD7WgEgQnZdt4vracw1cqLl0zjJ4+sYp8/wBxzPOM8CuP8YUNLURTeeecdQqEQM5uTiSsyYjSqZVEmF4xlcoGqHl6VJiHWqN6VCy+8ELfb3atEu/1V1ZOdY4/9PcqywoZ9ZoxGN/GmPiTsUABadkPGxN4HODbBzO72aH5Kd4QnSYySdJBCITZ99C75E6eQVhCtxO3JsGKs60aRlQGrth+18CRadB181vINoNBt0fDalaui6AAHdXVaW1sJhUJo+2RBCjoNSZeMofXp7bQ8WUrGb6Yj9qeS/gPCjwbLd4CMjHNobHqXjzbfgM69lS5dASbd4NkxeWkyBxr6IckOA69vCAsd/eGDnTx01oQBto5Gps3IlpbBdU+21HVRoNez+MKxfPR/29j82n7GjUomLSVShEwifD6Vu7cwYkz/HeNQcNKxI3jo2wb8a1uoOqab/D6x7aAksafazLi8AIYB0pIHQoSxAtDRh4S84Z+QOwtBEAYcHPrixZWf0OW3cvXRQ7/u0ZNO5Ztv70AQoDv0JF8tXYXWup+CrH9ittpj7jNx4nN8s3oGZfvvITn56CHVIjoc6ORugoYfboaQq15CTuqK0DrS6ES8rtgGyc4KlY8yqnBoHrklY8fz5NKtfLBzF1Oys+nyevnDZx/x0fqDA1sCrbmtPGJ5EYA5b86N2F8nKJhFgTRXHn/lN/BaOVXKAXzWauqnHMJzGw9dgKPcxk0r7wNiE+IFrQNryWNcvTUEW7QIiIAWQdEgoEVAQzBXoEY6GQjzuvTZNgwldvxlXXh2tmIeFy2W2PXpAaQetd20X05BazcSd2I+7o3NOFfUYjsqi2CjOmAbihPZuHEjn3zyCaefcjxiyEjdntfISLiNZGMN5Y5F/P7k0fzy9VK+2N3MaRMz8YckvtrbTEmalScunMLjL2xltz/Aq2dMZPr0TJru34BrVR3WmeloE020tLT01joq8U8jNSu26KEu04a820LA7cBgicdgMODt8PHpQ5tocqgkWUUfO4bm9IVwe8zAIW1//lvY+DSc+TRMOBeACTl2Pmlx4HH4Mcer/bcUkqhsDqDTJxIMdKC3zuNQ7F2zktWv/4u9367i0j89EbXemmNFrHfiqndhyxl4grBk1rmsrPiaN+avo8R6NMVftcNZkeHniIKbMTxxGpseY0kintIWhMNIjvhP4MeQ0HcAu306K5xaLN2fYtcEGZF9/uA7AdNyU/D74qnuPLL6Ocv3tSAKkB5n4I2NtbyzOVqCfCDkJprpVOTe9NpYqKrvptzrZ3peAhNHJ/OTW6ejVeDlZ6KLhLmcFYw8+2cIYpC6suGdS3+44ropaBT4bGkk5+fL/buRgnEsmdx/bR1FUaj96c84sOQMZH90jPjYKV0ghMIhp74zFa0aChmqDoskSby43seM7BYmjxi6wFtQbkYQQFBUY0xr3UVe+t8oGH10v/toNAYmTXwBkNm85bwhZW8NF7IsESf6MZp+mEUPFUVB027BkhHZlYkaoV+uSE1NEyExyMicaCNMURTann6a7p7KuwBFSVnozE28uCLE2PueZtLdX/PRegtJiWHSYnaqiT9Ovpt8Qy4n5J9AmsFMik7klrGnc0XRQk7OnsboPCtbczchFHTDGCe+QjXldlzuU0wtfI8p+W+Rq32aFN1T+MR7ett+8OiR3DuvmDtmF3L7jBH8ekoec3NkBI2PcdZTWZByIbOSzmJqwmIm2BcyKm4OhdYpGHUuLNZojlzihaNBFOh8e3/MTBHXt6rWin1JEVq7+v6Looj99EKQFDrf3o/U7QdRQNSJbN+u9gE791Rgl+bR5l+GzaDBJ5lJtsicMDZcJPbxCybzj59MY+Wvj+H1a2ZTV9nJ83Xt/KI4nZkzsxFFkaTLxoACbS+qmVnt7WG+yB5NPYZUlUu10+lh8eYyVneqPAxLXjYCIs6qsKrvmqe209YdYP7RWTjjWlCk2J6L+B7vgiAGkJU+31HZZ+rfXe/3Lpo4qod4uzPM41vzkhraT806AVFXgsE2MeoYjfvVDK22miq8rmjuiCVVNZa8QwjX6XQ6/nzx35k18XbmGc7Bs7GJxuVf42kN87YOFmOMi4uLUOE9CEVW8GxvxTwhBUEzfDHJ/wT+O8yqHzjqXHV86U6gXlI4KWs8Z4y4eEj7nThqFC+t2M8ne3bxizlHHfbxy5pdpMcb+fj6ecx58Gtue3cHswuTybQPTRa/IMNGaC9U1jopGmGPWv/pN9X89hOVCHflSaooW15OHL4kPcQooe5yVSMrRrRGN27Hd0MKTUk04bJqcFVFfujra1Rvzgkl/WewBKurca1UU4w969ZhPSryXufY7aBAk8tBZlwCJPVx1067Ahg6h+WJz9+l0Z3Ig2cmDeWyetHergo/jR3zMNX7KkhMK6Fo7MJB97PbJ5ObcxU1tc+wZ++tjB3zyLCOOxiauveiE8BuHZ4Y378LB5pqMAVsZB+i9yNLClpddLh19Y6NLG3+iAnx8yNc5Afh3bSJ1kf/DFot1k0bEY1GBEFAY19ByH86/oCBvIwO5hXbufuEi5EUhTs/W8adJyzBpDNw+oQzAbjkvQUo6Ll02h/7Pff9+6torwVb5ijMZtU7ltBjQ00Antr8LyZkhjj/xJOj9jVtrmPbTvjVzEuYlRu70Of5z55BnC56INIYtdiOycb5VS0dr+8l6cKwnL2vrANC6nt+qLiYZVIq3cuq8W5XJ1iCSb2/3d2qd7aiooJjJ5/O7pYv6arYjKAbhc1fjlGn4Yq5IxibGQd7P1UrXc+5AQV44L1d5Ioabrg4PMAbsuPQj4gnUOlAckd6yRRBwWhT6/Q8VdvKlm4Pj1c3My/Bhi2vGKewDm91I4xVuXS19W4KR8Qx4fyRfLR9I4rU/5B39SIjT38FX5bv4PjinvNx9fBq9n3Su93YkclogG3725k+VzXkbT2FKtu7MtBbT2HUrOjQU9AXvp/ujnZM1kgvitasRQICbUPrM/VaPSdcexGOL6pxLa9lt3I1wjY9C49VSbaTJk1i69atzJgxI+b+/koHcncA06T+S5L80PCjh+U7wFv73kKvMfCXU5Zxzsxn0GqGlh0zK7cQUetiTcXh13Zo6fbhCUhMy0sg0WLg6UumEZQUfvLswJWd+6K4R2xuX3VXzPVPfFmOpMDLV8wgP6vPwBCUUXTRr5DPX4MSyMBg9eHq+O7Km9tyLBg7g0h9dFn2Nnaj0XWrhkY/CNTW9f5uf/qZqPWz8tVO54uyHq2NlFEw8QIYc3pvkTtREIbkYdH2zFTmjooujjkQOjrUOjfJqfOZcfTPhmSsHERx8e2YzQU0Nb1HW9vyYR13MDQ41Flh6gAZb/9JbOshrU86pBxDIBCky98VWSunq52fb7mC8uQtvDvqrzHb8+5UNWcIhfBs2NC7XBe/HWvJvZTffQkrf/kT7lt8KlqNFoNWx4OnLMakiwztOoJe7Pr+BekA6BU4jO3ZDMoCphjfF4DTrxIlE4z9Z8Vp0BJSYn9/cYvy0CQY8G5vI9ikcs08u9poe25X+PhN0TyN5MvGgkagU9PNG9alUdyI1FHHIgaslFZeQaJmDZmWKoKhEHecOoazJiTDm5fAsjug+lu++vIA6z0+bllQiO6QkITtGNWA6/6qJqIi8uhQNqZUlcxa7lG9pas61fPX6E0E49oINqr3xlHehUdSyB7XM3nQyGqedz+4bIb6zS4v75MIcfAZasOTP5NeS4Fex86mcBh94sn5WLQCARQmL8phwfnR3lWzPdxHJWRGGzSJ45NxK+DcOPTxQBAE7Cfko81Uz08RAwT96qQuIyOD22+/PaKKdF94t7WiSTSiHyT89EPCjwbLd4BNzZuYkT6DOP3wVF01ooaUBCd7Gg7fC/HGJjXksmSy+gHML05hen4CFa1uur1DU6Udma8aLAcaot2UVz+6mt1+HwiQGB+ZKaIEZTSG6FmspNSjEbKwJvtxtQ+No9O3Im2/5zk+BaMisHVXOJtgf7OfxPiByb1CH5lzTWJi1PpjCkYjiH5WlfeErwQBzngKzv1XWKGLAbNRe9Hl8WHWetFqhk6mVhSJzs41GA2ZaDSHl40zdcrrCIKOHTuvJRgcWDp8OGjpUtWY85KiBRB/CGis7iSg8ZGbGQ471DY1IigidOv400Ov4vCo73VAjvwepBg5wUqfWbBvX1hkrSRB9TB9UfXFkM6rOxTEPkh/cFA5WVFih/L8IW3YYAn5Yesr4FFT4J2BHoPF1L9RpEUT8xpBrQ+UfIXqlexeWY9vfycdL/Wkv2pFBJ1IqDO6X9KlmEm6cBQfJC7n+eT3WbbuY9LSVJ2hSZMmodHq0TdNwi+GaPEkY9QG6Hb3DMBtZdCjCi5veoGHV5QzwWjg5OOjjWFTSQKCQYOntIW0tDRGjhxJptZCgkFG22OkybGmEEk+lDbV+KndqIZssqar56dolH5DQgB2oxqSUZQ+327WVPXvIbo6Y+1mdrsi709lmshf7T6642Mfo2CKahAVTpuJRhsdotFoRAQR5MDwQrs7vvgNu8dc1Pvv6o3P9/7uT5dLCcl4drRhnphyWLXF/lP40WA5QnT6OtnZtpM5mYOnr8bC+BwLHV3xeINDMy4Oxdd7WhCAo/pUGv7F0aqL+KJnNvSzVyRsZj0WBKraImdUsqywrFUd/LyKwh3/iiwloAkqGMwxXKy6Rgz6XEw2HQHv4MzzbcuW8n9XXciulV8NuN2cGZlIKGzdrHZETr+X9q44JmQPPDDoC8JchYSLLoper9WSEO9gd33/seOhftP7mtzkDGJAHYrW1mUoSoiMzKFxn2JBr09i7JhHkWU/W7ZGX+PhwumpwSOLxP1ANVicDUEC9u6IrIqm1p6Qxaw2zPVpPHHvB7z5+VLknowZTc9fKUZRPk1ycu/vuBNP7P390kkvIQoiT5RGkyVjwRWSSDAOosPRW1uoH4NF0mLU93xf65+CD34Bn90GgDvgRVEE7H1qJXm2bEVyhd89jaDp18MCqvGBAIFKB23Pq54V88x0Un8xCdGqQ+6HtGwam4w2TzUaHtn3GOMnjGX8+PEsWLCAkC9Ecu0xvL73TG5ffQe72keiCD2TlmCf72vXu5RJIW5fPCqCLB1xnDFJKJ4QoRYPJy4qYrFrFuK4sJGQa1Q92TPiw0abJs2IttuOLMlU7e4gwaTBdjApQCPDAAaLWa8BIURNW5/ncdJDcNRvYNbPI7Ydl2ajIhQiEJBwOnxc9eBKXnSr9/6VTbErNOeMGc8lD/+Nxdff0u85aGWI9wR7w88ul4vy8vJ+w9FBj5sW7dsR71CDa/DaTb6yThRvCPPE/55wEPxosBwxtrZsRUFhZsbhzUCPG1kIio6le6PJq0PBvmYn6fFGNH28CMeMSmXhqFR21Dv4eHvDAHuHkazTUn8I36SzK/xvCTAcMmprJQXNIWq2Xnc3WmMXFks+1gQ9QY+NUAy56b7Ys3p5z98VA25ns+pxmkVaD6hG1Bvb1oNsYMmEgfkVuvR0Eq+4grjFizFPmxpzm6J0LS2dln6Jq6IgDInDsr/NxKi04aWq1zeoHUxO9pGlJqelnUxKyom4XHuoOPDYEbV1EH5/A15+uBosYocZTUrkwNrYqJI0Tz5pLnOvycbemUnrewb+8tgbnLFG5sVHJYrrFE5850R8och33jp/PoLJhGH0aHR9UpjNOjOTUiZR6aiktKV0wHPyBT34FEg0DcZjOqiv35/BosN0kIdTtVr9u/0NANwhDyg69Fp1vXP5cqovvJDG22/v3V+DBqmfcNNBCFpRzQiSFfT5cSSeUYw+04I2yYTil5D7KYvR4GskU0ojIIS4d/UdnHLiYhITE6l8aRcWdyHr66fzsu4+bNusfLGjp2yJNWz0fmy7jlQEZk3rP+3fOk8N/bi+bcDZoHq7RCEcbr80Mxm7VsMVWWEj05iZgigZcFQcoKHdT15hn9pqGiXKYPEfOIDkUPsTQRBA0fLt7j6ZQkmFcMxvo4rPFmXHIwGrVldz+sMrWOf08MTCkZyVlshqh4ul39QQCyl5I9Ab++cWSsV2ANw93q23336bl19+mf37I5WWy1c9zsalF/Lt8mNA1jA5/xWm5L1FrnQDQV3roAR8z7ZWdOlmdOmDhC1/YPjRYDkCKIrCZ1WfkWnJJNM6PJGggzh59EQQQny+L/xCNjud/PGrj/CHYs9werfr4a9MzYueyd19uqpNsKmqM2pdLKRbDLT0CSE9/K9tXPq3b3v/rQhQlBXpyVBEAb8/skNsa1I7J3tiAclZCaBoaKuvYyA4e7IAqrcPXgzSkm1B36HWM3p60+cgBHlq7x04fAOHQdJu/TVZf34UoZ9QzZwRGcghC1vqq2Ouj8oSUhTwR4bQPH4vTe4ERqUPT23X4diKXp+Cbgip8INh3NjH0emSqKp6ku7uIVYDHwCaUDtBzeBqvf8JdLtdmN3xpB5S8LOt2YFf4yUnJZNpk8Zy8m9VfkuztYpF22T0Ehy1U6bV28q1X10bsa8uPZ3Cz5aS99K/olzlv535WwAe2zywMdjqVt+hZNPAJRkOFumMFRKSJImQrMN4sDbPIe+3J+hFUMLeS9cqlbTtXPYliqR+k1pBSyiGF6kv4hePQJ9jxbogi9SfhYmvxlFqn+LdFVthuiHUxCTNGB6b92f2aCv408cqudi3T+1vLvZ9wjzNLi7Xfs7uqh7PSkI+pI1H0Zp4sKWQcVbTgHoj+iybGhba1krWGLXgpyKG+8T5iTb2zh/P5K5KGqvV/tOap4aX9r1biwSUHN8nu+0Qg8W/fz8HTj2NmmuuAWBvq+oZKcwY3NtdOEK9P9d/sYcg8M5lMzjl+CIevH4m6aKGJ7+OXcphMJjy1D4g6AgQCoWorlbfpYOZWACS20dN4Em6DesJmdrJTDyfxKIZJBROwZJSCIJMd92Ofo8h+yV8u9sxTfxhek0Hwo8GyxFgRe0KllYu5cLRFx52G1a9AXtcN9tqVXfivtYmZj/4Bc8sE7ng5X8NuO/bm1VD4PRJ0bOU2nY1xp0eN7TZcY7dREsoSKfDh8vp5/9217HTGzn7PGrKIZLVokDgEIOls1U1WJLSi0nPV0NTTdUDF1fUxEi56w+jJqRgkgU2lLageEaiM9dT46xi4dsLWVO/ZsjtHIqTx6gG3qeHyFgfhHhoLaFPboKHC6Ax3JFUNVejIJKfMvQMoWCwE0lyER8f2/MzXIiihimTXwUEtpb+BEkamjhafzArLrSGwzPGv2+U7tuNgMjIovyI5Y5WDz5LNxpRNU7zczO59qmFTOycT3LPuH/8VvVhbmjaEMXz0KWlobFGG50jE0eSY8the+v2frkhAK0ulQuVbB7svh3sfqMNFpdP7Q8sB4sSmiInJd6QF0EJ88OkjvDEJNSmhsQ0iDHDXn1hnZ1J6rWTsS+OTPG2TFGNLe/22PVmmpQWMkzpTCuZyaX283nfs5SO1la0ueqAmy+GiaO5LSvUH4IAl3/CZyNfp4Ekrjo2dnZTX5gnJKP4JNrXlgIg+3v0VBQFWZLwe118/FgXHzyqGgiGpAxelsrZVqUw1ijSujQ8ARE0gBQe8lyrVoEk4du2nVBbGz99TeUn/f2C+YOe1wvbVeMm16Dno1uOYvQoNbSi04pMSY+nxjOwxH5/EHqKXkqeID6fr9ere1CHBsDZVoYihkN9La4Pe3+njFRrZu0uva3fY/j2tKME5f+6cBD8aLAcEb6q+YrihGIuHXvpEbUzOktPS7uVoBTkmte+QEFG1HrYsi+JL8pK+z/+nmYE4OiR0S/enh4Ge2Hq0Gb7SfFGXCKc98g3rNgQGYN96yfTuXtOIdNHRR4nZNGgdER+mC5nJXLQiM2eRkJyHhqDi9a6gYtspeapAl5jj1o06HkeNTeHgKCwckUlLe12Fo5K5pEFj6iF5766LsrFP1QUJ2egM3SxsTq2Jk5EWrMsw7Y3QArArvd6t6lsVQeqgtShC7g1Nqr7p6aedFjnHQtWaxGFhb8mFOpm+46rD7sdt7+TOI2ExXx4JQ++b5SV1SILEhNGRWZkBDpBjI/mbvzk1qOQ+/R4elE1Bv5v2/8N+ZgXjrqQkBLilb2vAOBas4a6G35JqI9WSKtH/X6SLWpIKSQr/K26mS2O2NV7Y3lYPD1ZQBZTj1EyoicVf5IqmeALeREJh0fEPvVzNPGqx0kraAkNlBYzAESzDkEvEuypOBwIBCIyrmyKlfaQSgBeUHIMfjFIXVs1O4Td3JrzF9CEz6etu4/0uzGeap8dPTBn1uDfiW2h6iERqkyEjN0oNXr8Xe2UP/wmX/92KZ+/oA7WUsBI0B/it19djM2ZR5FRpMioIa7Rhetg1WSNgtDHYAm1hZ+Ze916LCb1+ryhgXVQnlpZwbOrK8mMN/Lh7xdiT4gM8bS6/Bg4PCJryKkaZDqzDoMhbJAWFoaJybIS7nMFQU8o5OytQ6YzWTC5SvAbYvNoADylrehzbWgTf7ih3v7wo8FyBNjTsYfJKQPXDRkKji5SS9jf8cUHVDckcezEIKW/PxWDwctNb28h0E9oaG+Tk7Q4IzpNrMeofjBX/2sTpz6ygr88t3nAcxDjVS9HWTDAXV/uw4TAGJ2eHJ2O6WNTufS06GJuOWMSiXfLNPSRqfb6apAD6YiiiCCImBO66Woe2IiYfc6FjJ53NDPPPG/A7QBMJi2+JD3dFW5QNFw7bzYnjDiBe+fdS0gJDequHwiZSX4qW2LzVCLSmn1dEOy55tVhpdJOt9pppMbbh3zMlpbPAIHUlMMrK9Af8vOuIS5uEh0d31Df8OZhtVHbsQWA5Lgx3+WpfWdor3bjjevCZIjMRNM4TZiSokN/NruZmh6b+4ujbGz+yWYEBLa3Dp0/dtCburZhLQAtf3oE5xdf0PlamOjY7lG9CylWdbD9qLWL+w40ct2eSF6D0BsSivaCuHzqIG/W9RglM66Gc16AE9Wq8H7Jh4bwdZsmT1L/TpqEaFQHIo2gGdTDMiAUEDQCPp+Pxx9/nGeeeaaXGzHFOIHNXvW+HRSf21m9nXvjHmKHtYyGUPj+v++L7CN9AWnIA7o2wYho1hI44MJ4vAF9Rzr1L34B7Rnsc5ip3ZaOqFO/xbf++U++aNxJeco69PG1vSUQuh7fwqZnd6LTa+l7O0RzmKtiKCzgnpPUCdMLm1f3ez5vb67lwaV7STDrWXbjArVMQh84fUE2drs5Pmd4OkwHcbCSgqgR0Ol0ZGaqXropU8Kq2XHp4e+xuEj1pDQ2vtW7zKIrRNa52bT0YnzdTUh9JnGSO4ivrBPzpP++cBD8aLAcERx+x+CZAEPAWRMnIoh+XltpQm9q57ElZxFnNHLHqUW4utO46UN1Fu4PSmyq6uCtTbXc+EZpD3/FHrvNKVnkJqof5I42N38pa6K9LfYMD6ChpziZVgGHLHPn0SV8dNcilv2+fz2Q/CI7IgKfvlfeuywk1yEqYVe4LVnG2TqwLk1SVg6Lr7+FhPShhR5yxiWSIQkk6b1MyFAHhVMKTsFusPPO/ncOW/F1fLYNl9OO0xc9wxL6Cqf21dkx2nt/Njlc6MUANlMkp2IgOF27MRjSEMXvvo7H5EkvIYhGdu/9LQ5P/zOu/tDQWQpAduKRlVb43tBsQpcR6UFw+7wYfVaSU6P5QDXdNbx2tMimIoGvpqnPUEFhb8fQCpDKssyFn6gGS7w+HkWW8feQIdueCGcPtXub0QsKcSY11Xprj4fhgNdPo78vPyIyJBSUFQI9767L5+DMoo9od/aEVjQ6GHsGGNV3yy/50Aphg8W+ZAmpt/2GjPvv612melgO32BRZAVBL1JZWYnL5aKpqam3Ps3MrFnUahtpaKxF2xN6e6A5PFko9RSwVS7itdAxSOZIz6w3KGEcRiqteVoail/C5C4kYGtA35iNZkQ9Fr2IICicfnMROksXnbtGMbnuBKaYIHDUXbTlf0qtVZ1EdO9oI8kej85v6p0AmiaqJUw0iYkYRo5kWnYBghikvjM2h2X53mZ+/dZ2LHoNy25agMUY/c06PAEUAUZmHh4fLSiq/XAgoD63s846iyVLljB6dFjcz9vexHIW8rL2fjrcqhHc1PxR7/qCCb9Sz8WwljWb5rJlWbhAqndnGygKpvFhovJ/E340WA4TkizR7m0nxXTkccBki5l7zsqgILuJV66Yh1WvdkQXTZ1OSW47H28wUfjbTxn5h884+6m1/Prt7by3VR2ALp6VH7NNu1nPqluP4ayRYUv6/hdVUqsSkuleUUvzX7agSGoH2ebyIwCf/2Ieq245mvNPLEKjETEOUGNixrQMXHpwbG1H7mkHbRN6XdjVm5hhweewExqEQDwcTJwWh4DAnAQTkhzid18s4TefL+Hq8Vfjl/w8tf2pw2p3dJYB0PKHL96PWifJSji12WBVCYQAR4ezMnY2eMizd6I9xOO1xeHmnaaOqDY7Ozciy16SkoYuEjccaLVmWnRjEBSFzzdcMKxq0wAtXZtxyyKZcdHetf80mtvbsHqSyCqMnDDsqzyAgEhWdvQMssHVwLYCkYfP0WDLyutd7peGxjd4de+r7GrfRbY1m3vm3qNasFK0QdDp7cCqEREEdSB399mmztfnO+j1sCgEZYWFG/eycOM+ArKMTVPFyQXLyJB+x6tf3s72yo0RxwjIfrRi2GARdDqSLrsMQ58U/iP2sMgKgl7Tq2QLUFpaCsDscQsQFIFv9i4nGFIH+DQpid/m3Q1ArSWRMwL38Dvp6ii1FK8kYxqGwRJ3fD6CSYtzeR3CjJ5Q2eQM8nKt6AWRjLxRXP3IGXhyqynumEZAVidqbQUf8nloNfViB25ZwepMQivr2F2hTrAs8+aR+pvfkP3XvyD0pFbrtCG2VPr4bO8u3IHwe/Hq27t4/oVSkhD49Ib5JFtj60u5u9Xna7YOfwLyVelqntinGn1eo0roT0pKYtKkSRGp3xJBXuUytofMtDW8AEB62qm9621ZRcydvpZJea9h8GTh0oQJuJ7SVgxFdjS2oYmb/tDwo8FymGj2NBNSQoedHXQofjJ1Nl9fdyXTD6lvMr8oFRApSjVy6oQMbjqumMfPn8SKW46i8oHFzC4c2PX4i4lqHL0YkUqnD19ZJ6se/oBPv/wMf5MTf0+KsM2gQwHys21kpAwt1U2v0zBqcR5GCfZWdBL0e9EY27FY8nu3SclJR5F1tNQfHms+FrbsVMNbN549leqOUj5srODTpgrwlhGv1fPenqcPq90VzS+jjSvlg3VGlpXtiljX7Qti7Wu8nfSwqoY7KUy4rmjXMPKQcTIkK1y0/QDX7qlh8yEchtq6FwAoGHHdYZ3vkBBqpz0ESXI9y7b1T8SLBclTRreQ3K9Oxn8Sa7duA2DihEj+SnWtWkulOD+69tGYpLArvaxDrTeTbErGG/Ly3v73orY/FGWd6j7vnPYOeo0eQaNB21PXJuHC8HvQ6e/C1kf9NUUfHrzGWsN8h4NZSIoisbXbzX6Pn3KPn83dHkw61dDoCBRjCX1Ka+X5vPbJsXy89v9weR0EZR96cWAOwpF6WFBANGjQ9MmsS+7RqUlJSiMrlMa+tn2MK5nC7ek38vGFSzljtlpGwJGkeoaSzHo63EEcnrDXwhMIYeonO2jNmjV88cUXEca1qBWxn1oAMtgD80m4MY+0WUeTNiIev6zgbfext6ISc00e8e40LDlbe/ZTDY4qsYWQAp271HtRVq4ScQVRJOnyyzBPD6tSLxjvJeTN4WcvVHHVm68BUFvTSsaWXUzT7+BRUSAvuf/+0W5VDYHXh1HPTZIk7n3nUW4svZa0kOqZ8QX64zsprNv2FzyChSzUY+j1KWRmRiZ+GG2pJBXOIDf558haL/tWPETl8hcIVDkw/xdmBx3ED68n+i9BrVN9WXJs30+F3INYX9WMzuDg818t5G8XTuGGRSWcNimL/GTrkBQK80cmYwbidVr2+vyUvrydbwI72Kutp1psQ+6p1ZGfrM5KKgYIG8XCjElqNsH2na20NVUgCArxCWGjK6MnU6i5Ona68OGgttSBO7GNgpxM1lY817v8T7s+wBEK4AwFWX/glWG12enrZG/nHsaP3oHB6OLaV0qpd4QzL9x+CXvf8uslJ6hquEa1g5GkIM1uGyOSI13BlV4/nT1FJd84xMvS1bUBUTRhMAyc/nq4eH/jT0mRqjFoNFQJRSjtb7O/6esh7SvJQRLoQm8ZPfjG/wEc2NOEx+igJDc/Ynlzo6p8m5Ec3SlnWDN6U4mNPUUtX178MhathTu+vYN/7Ro4Ky/NrD6nFbUrepfFn3Um6HTEnXpK77KugJN4XdiYOC5JfSeOSbRhjvC+Hfx+Fer9Yc/L07WtKIo6wB899RZOXLSBYNyD+OQEDJ4/883qWZySvJUU/V4OtG7AH4wtVKgVBtdh6Q9Kj/6KYNSSnh5WER41KuxtS9ek0OhpxGg0ceEJV2A0mjAaDMR5LASsqsFy3iR1wvSLf6znj89vZdvuVpy+EGZtNMfI6XSybNkyvv32W+rrI0OYlilpaorzhhYsaaox6mhVQ7e3vPxHvnhUNSad+XWk5KxmLXPYharku0dbj1cGvb4Cj7yZtrpoRe+DeOacn/DQ+SmAQm17kKAk8fAH91KqraJDdNEmNnLRi7+j0+OJ3PHLu+CjX5KWZCJH0LLJ4Wbbvtgp4X1R39rMOc9fwpuuFzjRcAYLQjNo03aRlR672OjeZQ/gMKrcskTa8WFg3ty1/U4qEnLVcG6d/E8OKPeiCGAad3j8mh8CfjRYDhNbmrdg0prIsvYvfPRdoLxRJC/t8FRwAUSjFj0CU/LseIDzAy6CsjoL2KGtQZOgdqxlzT0VT/XDEz1LT7MQEBTamtx0HExpTi3uXW9PSUXU+WirO7KK1AdR01pPXHMGmRPV7KeAP5w+qelxPicoNh7/fPew2j1I1r1t5o08f+ksgiEDZzz9PqEed34gJJNq639GW9/RQEAyMCIlMkTh7BMO+FdDuANTFIVgsAODIZ3vCwHHGlolPfkjH+ac2a/RLhnYsfM6vP7BtXnKmpZjEBWyUgZP8fxPwFcnIGb6oox2Z0sAv6273w78ntn3cHrh6Xy4RM0uybJm8cmZnxBviOdPm/7EE1v7V7K9YpxaCPPDij5ppDfcwMiNGzBPDhNLHQEP8brwLHxqvIUVM0by9Nh8dX3NLnwdTQh9OCy6PtdRaDYg90jYi6IBg87AidPO4fJT3yJv9Oc0hM6l0CDz09RmKndcwMpVE3l92WheW7WYtRUv0NxdTqe3CTQuEA4vFCt5e45v0pKVlcX8+fM56aSTsFgs+HweznnudDaJO3DLnqh90xmP1nKAC3OTELvUvuvbpm6e29vAZS9uZI/TR358tHhaS0u45MaWLVui1uuyrCh+qdf70t2u8j0S6vPQKnpOvqeY2267hHJpHE8IN/MwvyekEbDJJpz+Jjrr3kd0rMTTMLBmk5sabKNvJzvVwSXv3Y0pFKBbUI2jHdoaEhz13PjFn8I7dFbD6sdg8wtQv5m3bpyHVoF/fVke+wA9+HT9cs764CzqhAPcU/IwD19wFwGzhMfox2SO9uK4a2tp0D5LEu3oBAETXnSDZIHZMkeSHAwb00pON6Lxv7fm8Y8Gy2FiWc0yjss7Dp3muydLHsSu5jp83kTmFR0+T0bQqBVL9jeHy8zrQ6oHpEV0oLWrsdhvK9pJtRnISjDHaqb/9gUBt1nEWeXC6TiALOmwJ2dHrDcnOOlqPnyjqy++WLEWURE5fuEsAC6Z9yaZPfLlny55h1eOe4w9u2/j2+pZLN0xtNIEAJ9VfYbdYGdm5kxm5xVz0+JEWtqSufS1N3H6gihApr1/g2V/o+pxK0yN1KpJ0oU7h9+MCBsngiCg0VgIhb67uj99oSgKRvwolmlMyllCnDGRsWP/ghE/H60fXDeoonkZkgLjMk8ZdNt/Nxq7m7B2J5NdED1TDHWKiPb+vQqnF5/OH+f9MYIsn2RK4rMzPyPFlMJT2/7JDUsfjblvZbeqJzQyIRyGEgShNyvnIBxBPwmGSE/bKIsJq1aD192A4x/1tD6yB6WnZoyiyIy2hts4Jz0RuafukSBE9i8lmYVcedLdnLlwN4mFD2PI+Q2+hDOQDYXo/OV4qu9l56YT2LJ2LnNTP+XCtMZ+78VAkJxhg0UQBBYtWsTMmaqa98fbP2Sv5gAASbpoUcGM7NEIGje3XDoRb7M60K/45QI+uHo2nYJCjSwxJYbYpdTHuG9ubo5aH2p2I5i1vUZqKCCRbNFiTzHjTGgh5UA9+6bPoMyjegVDgo6WFCujgxn4QuH7oDQOrP69qUXVc2oL1LDT/R7XN19IX9lIWdGzpfMT3D31nGgN15xi8/Okp1oYazSyozW2JycYDPL71x/gtj2/JJVM3jz5Lc6Yrcoa6EIafNrYfWV57UOA6pe7Jn43VkHlHQ7maR9/3GPkmW4AwD99eBO5Hxp+NFgOA5WOSso7y5mePryKvMPFy5s2AzKXTD2y48gCOLwOMkR1cHQJXQDMlkYi9pCv4ow6Wp1+HEMsmNgX+TPSiOuWaGkpR/alIR6iJhuXAt3NJjzOriO6DoDG7W58KR2kpqgdpUbUcsnI0wB4cuOdVLeMBLT8XfdX5r17GjgGz475qOIjvCEvZxef3bvs+rkLmT++mzU747jjkxUA5Cb1b8xV9tSvKcrIi1iea9RTYFKTOE9OsUesMxjSkKSBNR8OF+Vtm7CIMhn2cb3LJmYdj9u+hKRQGct3PTjg/s7uUtpkE/HfAan8u8bqTZvRKFqmTYpMt5ZlGUO3jbjU2IRIqasL747YCqBWvZVPz/wU2TWGr5tf5Nef/yNqm5W1KwFYkL1gwPPrDkkkGWOrA7euXIsomRBkLY5vqgCVw1JoNnJTfho35qVRYjGi9NQAEsXY5EidVs/kvLOYV3wNp015hAsXfMzpC3eSNvJx5PSfI6degRzKIF2MfS8Gg9SiDsaaGFodVkN49v+7k+/C8ckntDz6Z5SeDKddXdsxyQUkWkxMnqka8E1tHsYXJXKKQfWsTM2xR7UbFxc28hYsiLzHclBCdofQZ6meVUVRaO7wYzRoMMZr0XqMdD73f8hOJ2JXOEvQk5BNhs+M0EfSX+tuprm1/3BNR0A1bppZToY4l5qJTmyKet75JHPCwp+hiF6e2vR+z8n18XJ0q8ZQitWAwx/t/ahqqOOs5y/mA99rnGY9j3cve5X8dHWCJ0kSKe02pH5KeyihsEG3RPstJyofoNcMPsEURRFboVq+pKb78BISfij40WA5DHxQ/gHxhngWj1j8vR7nm/3tWG0dFCQdGUlKJyhIioBP0ZEvdlFiktCjpSS3sFca+6r5I1CArTVdw27/7NOKcWsUFLkepIyo9SMmZOLrSueF29bx+sMvsnn5Z/i9w+PKAKw7sBF7aya5kyNnZ3PzzgD+X3vnGR5HdTbse2a2quyqd9tylXuvNGMbbAyh99ADBBKSEN5AEt6EkEBogSQk5A2QBAwxAUKPQ8dU44Z7k21ZsiVZvbftO3O+HyNptd5daeUChm/u65ItTTk7c3bmnOc8FWblzGXppHwmOJs5Q9lAsvCwf80zA7b75PYnkSWZm6bcFLZ92WWXkZ1Zx+sbdCFuVGbsJHzlzZ2kWjtItIWrciVJ4uWpI3l7xhjGJIYP/oFAGybTsanlsW3/EwQFTCsMr0900YxHqBR5eGr/QUXzhhhngzVQRdAyLOb+r5KyXfX4LW5GjAg3x1bXN2ANJpAdZTIEqLr1x5RffAnuTdFzEtlMNoJNZ6K1z+bdur9w04pwTcuWRt2Zc1pW7NxLnoALr4D0hEhBT9OCqBtl/MMOwukt2Br1hHyiO4T1p8Nz+dkI/f0R3RoWeQDH2r6YFQsT88/i9PG3c/rEX5AvFqGIyMlPCEFFRQVeb+z8SIFugcWSG/l8Lp50FhNdum/axuo3qfn5nTT//e+4Vq+h0+ulMVDM2JSpACjd40uwW5i5/7oZPE0i8tZIgSErK4vc3FwcDgeFhYVh+zw79AWBbbyuVTvweQ2egMawyRmk5yRj9zko3qcLo2ntobbP62jGq2kghfpRsc3g/VWxs2L3+CcCvHTR73GMzGKyOoxkzUbGuCzOmTgNc2AU/yl9Uz8opY+/yQk/BGBImp1mTaW5NbQgef2z97j07UtoUKp4aNKj/PaiX2Dq45xdVrYbRzCJzPHR/VeS1cm9vzc0vk13opyY99GX4FGs4P5VMiiB5fHHH2fy5Mk4HA4cDgfz5s3jnXfe6d1fVlbG+eefT2ZmJg6Hg0suuSSqaq8vqqpy1113MXz4cOx2OyNHjuTee+8ddAjml8n62vWclH8SFuXYhYZ5An6qG5xMHXbk9kaLJKEiE0SmXEshv6uIy7wn8H5aIhc+voaVu+vZW6erLwsGaRICsNnNzLtqLJakBlzuSOFq6vyTufTuUYyd34Wn3cq6f1t4+o5PeeXRf3KgONJWHYunV76IjMLMmeFhttVtekRPYdokit1ebjw1ZCoYsf53/bZZ3VVNRUcFs7Jn9Tpi9mBSFF6/8fzev4uykw89vZeDLQFykiPt+QD5NgvTHJH9Ggx2YrEcGw2G2vkF9VI+zkPSw0uSxNlzX8AlFNZvuQF/MPKaW12VOGU/qSkzj8m1HQmapiEOJCEP9UTUoSnZXw7AyOEFked5PLjXrweg4+13IvaHkBiTdCqTEi9gTeszXPHqr3vz+uxv20+SOanfqKnaTt1Ukp0YGT3YsmcdZncGznlFFCw6F9tc/XkyBSNzYmi9GpYjMDlLCkiROYn27NnDsmXLeOONN2KeGqjVFxSmnMjnVgR9PFj9PTKEjR0bX4OAbj5qff55ntr0AZLi4dqpuilxyhj9XSw+0AaAo9BJdpIdaX9bRL4kWZa54YYb+OEPfxiW5RVCAkviNP19aSppQwGmXDyG0cO7nXC7azdNatmJSQRIEy0MV6twqQJJScae7MDucOLJM3Pwi66IOUYIwQPrH6DD34HU7RB9oKOEomlT0NKDTJswhjMvvghJkjgxZwEtajF1HR2QNR6GzoPMcTDsRAAuWzSCILDsrRK8Ph8/Xf4bfrX/DvLlYbx63qucOSMylUH5Rt1cUzRxSsQ+AL8/3A9QkhTmznmv9++N7S6+tamkN+9PX/LzLyMn+zzs9sKobX9dGJTAUlBQwIMPPsimTZvYuHEjCxcu5Nxzz2XXrl24XC4WL16MJEl89NFHrF69Gr/fz9lnn91vIq+HHnqIxx9/nL/85S/s3r2bhx56iN/97nc89thjR3xzxwIhBDWummMeHfTytk0IzcaFU48sB4YQAr+mW2DHK7rw+KJD4q4cCw9sKGdTRSs3PLuRVzdXk55oYVScqfz7omkaKTl1KIlNaNkjox6TkTuUhZdcxHX3XcYFP89nxJwOWqrsvP+3g2hqfOnDvztfL4FQVd0Qtr2hu9hcZnIRl2wt43dNIdXpFm0426pi220f3qA7z/101k+j7s9zpDF/khtQGZoWu8pqTYdCviP+iAxNCyJEALstcnI9UlQ1QIbsJiF5atT9GYkFDB39W5xSF/9ZH1lWorhaT0I1OueMo35tR8r67dtxuDMomh3prFxV3YAqBRkzLLKUgNrW1vt7679iR5BpqgWbWfD8Rb/hhNSr2d71Khe89DOCqkqzt7nfNAYXPL2chb+rJNA2HYc5MvKrfVMJmtlD6sSpACRk6tqUaB4Ioo/TbSwGWtTJkoKIUqeotFR3Bt2zZ0/MsTnY7AFFQo4SzVO/4RMU1Y7dpBL0hDQIXZ9/zvsV76OomSwcMRWA7IwEEjWJ1RtCfiPOE/NIFFD7WaS5VlEUzFFqi/mrOtEUwccvr6Crs4OOdp+eF0mC7A49Sqo9WRdm8gvmcC8/5Vf8L9iacOPElpTJ1b97jKsf+jPj5w/B2ZbDup3hxVbvX38/z+95HoCrxuuayUc3P4rFbGHx/1zJwksv6BVWr5m2GElWWb7tI5BluO4d+N4aMOnfV1FhKrMSE/jLzirOfepq3lVf5ZLUq3jpmuXkp0c+u0IIhuxy4Lb4sCdGXzT61UYs/tC5iYlFWK0hYfcvlfVs7HDzf5XRlQQebyXJyROi7vu6MCiB5eyzz+bMM89k9OjRjBkzhvvuu4+kpCTWrVvH6tWrKS8v55lnnmHSpElMmjSJZ599lo0bN/LRR7FDKdesWcO5557LWWedRWFhIRdddBGLFy/miy/id5j8MmlwN9DibWFs2rFNpvWfHftRTJ2cPW7qEbXz1o5amoTgdOHgDMnExZkO9nb5KO5w47Cb+OJ/F/VGBl1/0uBqxuw+uIPnV97Ny++eQsP+S/CqdiaPPX3A83ILi1hy1WWceuUQgt7kuLUsw7L1yb2xLTw8uMOvD5pNqp22oMpBew6e7jorP8xJ5f7Vt0ZtT9M0Pqv6jOyEbMakjYn5uV1+L2ZrV1g+ir4IIajrSiA/Ja7b0Nvs0ossJibF/tzDpaxZN3mkJ42IecycwotpTVxAmm8za/aF+2vUNa+mXZUZkzXnqF/bkbLuoz24rR0sOmFexL7Whi68tk5s5shJvm+tnYS5c2O2rwatJNp0EeLJc+5gSfb3KfW+x5Lnvk9ADaL506IKCs3uLjaXpGEiiFp7AX//MDQZB70uKl59Feuu0YjxHX2EgO48LFEkFk30CCzRtbiVHh8TVu/krn39VEKXFEQUDYu7T0iuyxXLNCtFl6QAz9o2Aul1JNisNCaFopByfvlLqjw7GJ4ws9cRVJIk0jSJWm+Aqr36e5t3Sj6dQMdn/Vdx74vWFUBWJYp2ZVH68KfUl7frlyhL/OPlV5C0AF2m/ezJB0/1GFJbg2TSSGm9xirbfmSLmaS0dJLS0lky/0S8li5WfRBezfy/Zbqgfv6o87lj1h04LA7K2sqiXQ4z8opATaK4qTtfkyTpgksffnae7mNV5XPyxxl/4a5z78CkRNeYVxSXkKwm0rwk9pTcZHsLv6WO+afsYnjhj5g08c9h+/d1lwZ5szG6+ae9fTMNDW8d19aLgThsHxZVVXnxxRdxuVzMmzcPn8+HJElhqjybzYYsy3z+eezaDCeccAIffvghJSV6HP22bdv4/PPPWbq0/2JwPp+Pjo6OsJ8vg7J2/QEenTJ6gCOPjF2VMCzXhSnGJBkv68p0e+63tBwKTOPZ2+ZhvMOuf1eKTJbDxqqfLuSOJUXcPD/2BNfDvprdvPjRPbzw1qnU7DsPp/YKXsZA2sMsXvAFY/LjrzszcuJMFIuLfZv7D//rIT05hXSToLMl/IVs9jRgluCtPX/H4t5IQLHwi6zv8+/gqbRZfOzx1rK1YWtEe8uLlxPQAlwzvv/ilc1dAezW2M7I7299n05/ApOGRLc9R6O1dR0AKUepSnNfiqv1sNsZwy7u97iLZj1BtZZOU8Uj1LWH0tOrnhLapYzenCXHCz5fAKnMiTK+E7MpcuB3twYRydG/J8XhwNJdQC71ssuiHuMNBBHCTFpCyDT4yBnf4+Jhd1DjKUftGkupax2zn76IW958lECfqJb3iisxEeRty528a/kZajAkINV++j7KBt1UmrFwdp9PjF2tuSdKSFGia1j+09BGS0DlnzXNBLToE5CeaTey7b5jtN0eXWtoyrBBUKAdUo29ufgLrE0F2E9MJ9WWyqeiBWXKOOSEBFwzpyBMzUzJmhh2zoi0BBoUjc9e0Md4WZGRJ2eS7A7SXBxfugOpOxR3e0opnVY3alCQkSYhhMCq5mLzVPLU4g5+dbWJjiw7DbvPwHQwh0s9L/O/ifexxt/Fq39eTmN1ORazmcTJAcxlGTR2+7u0+9pxBV0sGrpIz2IMnJR/Eu3+dlZWrIzStxImEmn2tPPT9x/np+89SSAYrikeMtwKqJxeuJhFk/p31C5fs5MmcxvTZp8Qsc/rC/LWn0ILeEWxMmLErSQcUpRUi8gpHI7VGulf+HVj0CPSjh07SEpKwmq1cvPNN/P6668zfvx45s6dS2JiIj/72c9wu924XC5uv/12VFWltjZ2aN3Pf/5zLrvsMsaOHYvZbGbatGn8+Mc/5oorruj3Oh544AGcTmfvz5Ahx9ZE00NxczEm2URO4rHLn7HpYAVeTwqnjTvyz9C6pekWBAkBjeJAgNnD08hKttLq1ldHaUkWblkwasCMps+u/AOVe76FQ30BvzQU1fkAC+Zv4Jozn2bR1AuwWQZX/VMxmUgvbKW2JL403UF3kJOSLMzc4whbJZR1HCTNJPHC3n/hbPoTiAC5i2/gZ8HvIpvcaEj8avWvItpbvns5ZtnMFeP6f9baumScibEHg+KaVhRJ5fzZi+O6D4DObg2L03n0/US6OnfQpllwJPSfI8ikmDh91nNoAj7aeBWqFiCoenGIVqxJx1/Bw8/WbcSsWpl7YvRrk9qt2NJiP8P5jzxM9i9+QfLpp0XdX9uhC8KZSeGOpncvuIrJthvwVF3NRQU/x6RIfNb8FOe8cGvvczg+18lkaT9j5GpGyrWcna7X3BFCENgSIGjtQDnT3Zv0LIwo1Zp7TEKSFF2gOOjVBRqfJtjZFT3STJKja1h6xsqhQ4eGOX32xT5RNzW4vqgL297+8T4Cic1kzZnPz+b+Fosk8dfLXYz8cCWb/PrkPzkrPPtwQXoCbknQWuemvVHX7ow4fyQ+AbUr9kf9/IjruXEkD+Y9hXuKifE/Op12EcQ7zK1rcOxttGpfYPHJ/DnjahQSObPrFEaU6MJhqtRFhlJCXXE+pdu3AnDmmSdgUi38592PAbh7zd0AXDwmJOTfPU/f9npp9CzIZtnOgcA7vFP7V96p+wt3vP942P6VpTsBhYVj+l/cqkGV7IpEaod1YDOHj6GVle2svm8tE2u91JbdAcDWsrVR2xli07VxC9Oi+9qlpc7D4ZgSV8LR45VBCyxFRUVs3bqV9evX873vfY9rrrmG4uJiMjMzefnll/nvf/9LUlISTqeTtrY2pk+f3u9E+NJLL/Gvf/2L559/ns2bN/Pss8/yyCOP8Oyzz/Z7HXfeeSft7e29PwcPxp8K+Uh4v/x9Th96bPOv/HPjZpCCXDczUu09WFIS9Id4T5aF5qBKELhvSyV76joJaoLtB9vibivoXke9t4hTTtrANWf+k8UzLiHBOngn3b4Mm5iBuzmb5vqBv7+GTbptNiVg553Hl+PuzoMwwjGM+kBIoHA0/R/n5Wby+U8nIySVDGsiBzoO8EVdaJWyu3k39e565hfMH1BQ63LbyXbGPmZIegaqUKhqLh/wHnrweA4gScoxiRIK+BsJyPEVYMx1jiGt8Kdk0sIbG25mT+17mCUozDo29Y2OhB2by+mytzBn/NSIfV6/j0RXKqm5sZ9H27hxpF11JVIMrWV1h55QLysp0o9L8hcgSTJ3L7qCtde+wjn5P6ZK/ZTff/4GABNzssmTQ74DqcXvs7d6H237tmJpy8W+NJHcU8IrcotuQUXVIs0yPWHNSgzHfqXPpGNXok9AejXoSIFl6tSpnHHGGZx77rlRzwOwT8kECdxbQvfUWVWK+WAB5tkSsqIwKmM6Z+RNZm1nDabUVIob9Tw10/NGhbXV5g6Q0G1f2vh2OQBmuxl1VArJrV6adg6cEXbjgfV86tzEjEnzKN5aiSxM5BRloGkqntpdEKzluk2jOfXM2xlVpfsP7SPUrxMydhNUBK3dCTKH5uXizWuiYZMfTWh8WvUpOYk5nJh/Yu85CeYETJKJVm/0RIsBTRcUpyddjoNxrKkNtyQEupVTidb+gzN279pKcjCR/Jnh5uH66nZaHt9GdkDgvmAkl153PW2+VHaWLo/aznX5GSQrMtfmRzpxV1Q8SW3da8csq/aXxaAFFovFwqhRo5gxYwYPPPAAU6ZM4U9/+hMAixcvpqysjIaGBpqamli+fDnV1dWMGBHb1HDHHXf0alkmTZrEVVddxW233cYDDzzQ73VYrdbeaKWeny+DBncDI1IGNp0cCWtK20lNaSLXET2Xw2AY2V0XKDA+jRpFn9StptDXnmiN3+Rkk+uRzCNJsg/eMTcW42bPBkljzxfRQ0370rk3NHBMrhzOFyt0Ve13ZvwKmyRwugTnrdFIa9lIhtSEJOsCzbVjzkRC4jdrftN7/iMbHwHgjll39PuZrZ4ugoEkhmfEjhDKTtZV7DVt8edU8XrrUJTYbfbQ4AvwRVv01OuxsIt2JEv8A9Mpo2+k0TaT5K5PKD3wOD4NxucdXw63qqqhltuxFAZQ5MhntuTgARRhIr/g8KOuejQsOcmRY0l1q4cEc+hzf7voOzjEBP657xGe3bySx9a+jc/k7k2EX6oVsL++mtbPiwna2smceVJEm1aTrqIPRhFYNNGTOC76EN0TIp9iUhiTEF2zKcXwYVEUhblz55KeHjtFu6zImDLsBOpC/i5NKzegWVzkzA9pqKpctWRa9Am5rK0CEUxiWGr4uBVUBUKWsNhNHNgWMgFpRR241Q46l++k4v3+S3dsqPqCDDWVwvyReNv1Xg5KAVxtrYjuKCVfZxBJkjCrJjoQfERIeF0+4hSq0sxU14XMYdNOLcTZkcMNz/2QoBZkSkZkdI7NZKPR0xj1mpxmXQP+y1Nu4IScRbiV3TS6QmPUxspakILMzC/s997augWigrSQlSAYUNn3tx1oQOYPpjJudj5mkxm3aSlp8qe4vJEuEEszU9h3ymQWZ0QuVkrL9GjJpKTjs9RGvByxkVrTNHy+8GqnGRkZpKSk8NFHH9HQ0MA555wT83y32x2xwlUUpd/Ioq8KIQRtvjZSrClxn9P+5luUX3oZgeqBE5gBNLk6aWxJZc7IIxcK3t9VR2b3ZLrf4+em3y6g9LdnsPe3S7lwej7zR2cwMmvgSRMgqGo4LU3YrEe3FEFySgbJWfVUFg/sg6TVuuiwKBQ8eDI1lkakDn3gSk3I5eETfs63P9H49qcaF6zRSLZmc//nP0JCML/wPBYOXUhlZyWrq1fjC/rYWL+RQkfhgMUrP92vRxjNKiiMeUxduy5QFGbGX7I9GGzHGkdI85U79nPOltKIwokx21X9pMl+rPbBOVBfNOcZmkQyyYF9+IRCiu34qjeyZ/9+EnwOimZEt8NvLdOdH0cOwo/oUAJCH8cUIlfELW4/aYmh7ZIk8dhpDyCkAI/suI2ny37Bxvyt3KjlU+W28Ip6MkMdKZjKspDGu5GjmF40Tf88WYr8vB6TUCwuzE7ltHQHvxqZhxxDxS/FCGuOF+twJ2gCtcuHr60JpSQLMbkDU3euoS5fM5vbGpifq9erqek6iEVkRZgchmcm0oZGZ64FnzvI9o91beqGt17ig6qnaRNtyB9WsPvJ7VHHfSEEa10bmGGejCRJTD25EE1S2V9ejejrv6MG+eOfn2eb3EyD5GOtppsOm0Qau/1DaElWaO4ICaMLTpyNx9ZJwr48FEnh3hPvjfjsIclDqHPVsaMxlHCw4/332TtzFs+kXcb/TPwDozOzmJU7GUkSbKjW/XSqmqp584sETLKGM4afEMDNH9zMs8X/7O5PfRxRAxofP7GZAp+GdnYh2fmha54z4Wosip9Pt/07ZpvRkCSFzMwlFA77/qDOO94YlMBy55138tlnn1FeXs6OHTu48847+eSTT3r9TZYtW8a6desoKyvjueee4+KLL+a2226jqChk01y0aBF/+UuoXsfZZ5/Nfffdx1tvvUV5eTmvv/46f/jDHzj//PMjPv94YLAl25seewzPtm20vvxyXMc/u3E9CBNXzpx6mFeoI4TgpuWbuPrpDUjAK5uquOiJtbi6k1T9/pKpPHt9/FEgdW0N2E1eHMlHP5lY/jgzrZWZ+LyxNRSapmH3BCFbXzWpitabWROgsauS0dX64HX2F4I2Tw2fNddwTt4ECtMm8+sTfo0sydyz9h4e3/Y4mtC4efLNA17bB3vLQQqyZGzslUlDRzsSGpmO+Fb3mqaiaT7sCf1Pri2BINs79T75T0NbfG0jUCRQBpnh1GKyc8I0vZBkh3b8lZ7ftqsEgcbMCZOi7i9bW44kadSUFIeleB8MD7+nCz1tHl/EPrdfJS8lfOKZXjCc5Ute5I5Jf+a7Y+5jaEsLd7wkKP0sk/3WIIkl5UiqhYz50aOSApq+sjabIlfEPVFCsXCYFJ6bPIJv58UWLCVZAUkcdlSIqftd6yyu4OBbbwCCnNMW9O7f17AWv5CYnqvXm2rx1/ZqHXoQQrCsWF+sjT8hF5NFZs1rZQQCKi01VQSEn48q/k7nEAfJB9rZ98/dEddRXL6dCqWaJUN1k1qmMx1PdhMt+/wkpqRiMuvPq5R4Iv5KM1Z/EjnCwq2nLuAz/32s9t+L1BRAlUHRQs+Gosi0F1Yzqmk6M1LmYzdHChZ/OPUPAPxla2jOan3hBbSuLpQVb3LdDD0qcka+7tC9o64cgPtWvAvA/FFbY/bvq/teZXXNaoRLN/91aV4+XraNbXd/zrhqL3vHOpl5QvgYMSZvNNXuibQ3vxqz3WgkJY2no30rsvz1rSMEgxRYGhoauPrqqykqKmLRokVs2LCB9957j9NP17+0vXv3ct555zFu3DjuuecefvGLX/DII4+EtVFWVkZTU0gt+Nhjj3HRRRfx/e9/n3HjxnH77bdz0003ce+9kdLuV40kSTitTtp98WUNFMEg/u4qxc1PRKb6jsa7u6qw2lo5qbBo4IP7wRtQe33GZVnCH9TYVNHK06sPHFZ71c16dFRmSuERXVc0xswYj1Ct7Nu6PuYxbSVtWCRIHK1nuR3iyWZUaRZbP9btxicOvxR7nwCRuz6+EYD9nfpgmWJN4fRhp1PjquG54uewm+ycNfKsAa9tb10niQmdOG2xV0mtbj+JZi8mJb7XqbNTD6dMSuw/NL41EIo6+FtVdLX0ocgoBAWHlfK/MH0699Qm8Ll6/Dnc1pS00eloIitVn6A7W5rQ+kw+05lFsiwzdKWVzb9dwefvvUsgGH/hP7c/QGurrm07Y2z4u9fY6UUIGJEZ6W80NW8EV09fwIG2g0ys0N+47DbBqKQnqVsXJJBXHd3RFvi87u88VGfjV5t/zItb76O6LVSTRmhBYsYVx4nUnQVVDGKB1RevtQIhBel6rR7bjiLaCj7FlhIyNY7PmY9ZEuxs0N9bt6gnyxaugW1p8+Lrvo0Fs/M55bIi1IDGh88UI/p8f+N/MJX2VBvm3S142sIz8P538xs41EROmRNKmeAYasbekopiMjH9rHNxZufw3Ue+y88euZi8IWnIyJyzZDS+zNk4RAFygxdZFTiU8KRqctlIZGHCphVG7YOC5AJMkok1NWuo7KgEIFCljyldn37ae9yItEyEaqOkpZy2rhY+LE3l3JFvs2RC7Pe2R5uUE9A1s8FlLQzZ206Dw0TzxSNYcm30BHIpGReRZdtHWc32mG33RQiNzs4dBNXYVaq/LgxKYHnqqacoLy/H5/PR0NDAypUre4UVgAcffJC6ujr8fj8lJSX8z//8T4R6sLy8nF//+te9fycnJ/Poo49SUVGBx+OhrKyM3/72t1gsx98qL6gFafW1hhVO65fDWNnUtkJ+RhwDbdM+2PAUaJGD0U9f2cbs+z4EIMGioGqCbKdu57aZDy9MuqmtHICCjOiJ4Y6E/JHjsSS1suG/tVSVRk/yVreykqAQZM3SB8zi2XryuM7NegRannMkWbm6GWR/Nnzeom/f0dnO7no9Dffdc+9GRsan+Vha2H/YfA/1bRJZKf2r1dvcPuzm+JLfATQ3fwJAWlr/lZCT+ziHnn1IHaJY1HbsxiRBStKogQ8+hNK2UlqCMDrj+Mpwq2kaVCdgH6p/D5U7t/O371/HR8v+1ntM0C2R7LTSflkC7gQ/hR8nsu3et/jkzTfx+WOnoO/hv7t0IfJ3304l+RDhdEO5rgmZkBfbkXlL6wckeULv+9galRpzI0knxI5e/KBJozYgU9zVzn3bXuSM/1zE4hem8dP3zmVV3VbcMcKV46VXYDkMjVMw4GVP40+pnvUYprN91I1/muaR/wk7xmpOZpjdzvr6HbR42hFyF4XOcOHMmWztdbj9aH01407IJSXbTtmmRpIzdG3t5NN0f6khl49FQXBgebiWZXXbWk62zsXap8hkSmYi1mACHa4uTr78Gm748z9ISgtpmyrkev7617/SInWRgYSkCZKCTeCy9Gqc9uxtJitgpiRtG63B2BXMe5JK/mmz7qspRXHSlySJVGUsm1s+5JG3/oMmFE7IW0+GM7rQAfDOAT3j8s31emRSfYYV040TOePnJzBlRmzT+6KpF9DpT2Lj7v4DU0LXpl9vTs4FcR1/PHN8JVo4zmnztRHUguQkxBduLJnNmPJ0m3vaddfFdY7NohFX/cHXvgtv/Q/sjFQNvrq5ms7uwlsPXzyZ2cPTqGvXB+3zpx2eD4q7Sx/QU5OOfip5WZaZf1UOasDEij9W0lIfnlDK2+bFfrADV1Yi9lR90Fp8wYV0yW4yOkOTSMpCPax49QQZsxQa7A806Q69ydZkhjt1oebHM3484HWpmkqXK5nhGbG1KwAH2yTyHfFrNFpa1wISTuf0fo/LtJgY1h2q+O3c+Bywa1q3ApCdEt100h+rqlYBcEJ+ZC6Ir5LdB8qw+xyMmqBrQErWfQ5CsHftqt5jXG6VJKeFCVNnMP+OS/FcnUpXip9Rnzsp/u0HfPj6G7i9sf2A3t1djqR0cdbYqRH7tle1ATCzMPZCpSlQhssWWpyV5EvknzWWrJmxhdI2r4/x2mhWfnsr7577MndOvoRxzjw2NFfw9waNX1TbOfvf07lrxWVs/OhfeFvqYrYVDUnuEVjiF6Z7qNz0DH5LHUXj7yLnxNPwjixBsUdGRn5r6Mns6GzljV26A/zsIeGRLiaTzLVT9ISPSd3nL725+9k0LcKW7GDSQt3U4xiajCs/mYSqTjqrdW2AqqpUy/URea+SkvR3srk9uqCxy1ROQ0MDLe0HcNklHkpbTl17F0FvMvWV+viy4q/bURGsG7qeWnfsKMXLx11OqjWV1dX6wsfSHUSSvDTcMf3GSTcQVGp5sbSes4oOkGFvxeWJ7btY59K/zzqTnlDvtJ/MpnDkwO95sj2BZnURCeoHBIMDC+MANlsBJtPRC5b4qjAElkEQ7K7KOZiQ5vRrrkHJzCDlgvh8chx2Qad7ADtj0Ac13WmlNz4dsdtmkrGbFS6fPYQzJ+by1yumkWQ1cfLoDHKc/Uy+3g6ojG6WSeMlYOBS5ofLmCkncsHtMxGqhbJt4dklK17ZhwzkX3RIuKS1i2Svndr93an5b7mFnb88mTdnSZj6qNNnDQ0VqWxwN5BuS49LS7aroRKhJjA5r38hrabDRoEz/lWsy7UXiyUDOUq0S18kSWLZpOH8cewQTo2RW+FQ6tu2oQkYmta/MBSN7Y26inlq5tRBn3ss2bRlDxoqJ0zXiw52teoDvLezA5/bhaZquAMayemhZ3v0+ImcetslBK7Poi3Dw+j1qZTe9wkfvPwKnV2RDt47D3pJTW0i0RIZFl1SrztD9lf8ct3lGziYqydMa3RAdTpMKArXVK1atYoVK1b0mgJa1FYm23XzW37KWL497S7+dOZbfPztrTy/4FfcNHwK+YlZvNNSwnM7Pqbpd/s4cN9rHHjmBWo/fx9va/912no0AVoULWx/qH4vVa3LSPGcTOpYvc8loqf5n5QzH4D3DnwGwILhkebE57ZVk6JJzJyoJ89Ly01ixLRMvK4kFl7/CDkjQ8LI8CvHogGVL+0D4GDNAQJykCGp4ZqbokJ94fHeyug5STol3fRTLw6SYt7Npe53uD75eXwI/vViGV9sqyPRJ+iwSGQn5dMejJ0rDGBx4WJcQRcb6zaS/t0bsU+dSvp3rg875qppp6D501DsFdx7yXdoV829+Zai0ezVw7mvGX4/p+X/dVBj66QxV5FgcrFm12sxj/H7m6mo/AeffjYdr7cKm+3oBkx8FRgCyyDoEVhMg3BcSrvmGsasWoV1dHyZcfNSzbjcif07yvm6oMdDpTLyhR2f68ATULl5/kgkSSIjycbO3yxh+UBOtq/fDE8vhpL3InZ1BHLwa/1rGo4Uv1c3hTXXhgbigDuAubSNjhQbKcPCVfLeRbpPQcNyXfsjmc0sOO9X5NstPHTCHTi781NkJuuCTr2rns5AJzNz4jN5rC7Xk1rNGRbb0VhVNeq6kihMj8/JNRh0Ewx2kJw8ceCDgfFJdi7PTY97MOto+YhGkUyiJb48LH3Z2bSTBFMCSZbjayVWv6+DrpQm0pz6PZn61JoxWSy4arpQAWeUHCzDRxex4EeXIN88hOYcN2M2ZVD54Gree/7ftPap6utTfSSYoudwqW3zYFakfn2UEi02br3wz7wxfzb3X6rw85rvkpQYEjJdLhcffvghmzdvpry8HE3TaJBayEmKHvU0aejF3HLKv3jiW+8ySitESTYhn9GFyPXAQTvqm3aaHirRBZhnn6f6kw+o2VuMz9ceGjt6Kvmq/Zs09+xp5E/Lt/D8a8V4O+ooX/80AUszIyfdFjpIknvzxvQl2J0vpqxrJzZRQFpCSsQxbqFx/phs7LbQuHn6teNRTBKfvVhCMBgSqOxpdrwpNuTuBHMrNryKVbMw75BMsaOHD0MtaiawNpXt+/ZwKH1HT4fQfYOWqKtRxiVjPqDyyfK9tEsa3/vtCQxJHkpAaug3MrXHQf+3635LwrRpFL74AvZJ4e+wJEnkJ8DEvEocCQ6CkomgGkpJ4C0upupHt+KvrOw9PqtDJqkzCdkSXm5kIGaNmkpl12hqamJHC+3ZexelpQ8QDOo+l7k5x2cgy2D4ersMf8n0RAcpcZb0Phwm5WXy+Q6NkqY6ijJjpFK2OUA2gRaEyZdG7L7r7PGc+5fVXP73daz+2cL4JjtNg9LuFNQ7X4Ux4UmuOsUMgv7B13eq9PhIUBQyLHE8akLv17pSN51tTSSnZFD5WilmIcg5L9J35tSTzuC9Tc+R05SCqqkoskJGUgHvXKbXJnot+2Q6faFJ6cU9LwLh2Sz7Y3t1PZDEjILY0TyVzVUENDOjsuPLe9LQqNutMzPjz4obL8Ggh1y5nQ5n7IRgsVA1lXp3PVMyY9vcvwqEEMi1DmzjQlqRrOEj2bt2FdkjRqOYzLRV6P5MziGxtVAFhSMouGUE9dVVHHhzHWN2ZFG3ayPrilqY8a0FDMvS2FMZPYlfuyeAPQ7fr8QECw7pGm5suoDpWgr+Dh8Why7I9g00+OKLL0jPSiMoB8mMw8RqlswEFEHeqUvhVH2bq+Eg7cU7EWUepMpEVm1RaPbWAXXIZjeWRA+OzGYsORPRtNgmoYqyFs54Rn+vLbKf7JTbkYIWUoPzSRk2ufc4SVKiCizvlr1MogxdQR+TU7vLDnzykF5X5xQ9x1Gu2cy2QxJUmqwKc88fyeqXS/n0+RIWXR2KwjMPTca6vZHO5i7+3vkckiSRnBwpgF9x7em8eOdmdu8tZ/Lovg7sEsnCTrvkYlwwH6slZGK+8bvT+P1PPiWtS6U100q6w8aYtEJWtwbY21zNuMzoPkcZCbpjbFl7Gd6gN6KyO+iaLB8tzM7QXQYU4SPBHNLkNv75Mbo++QTF6eSxxUFMrV08+g+J9qR2vn+d/qzHuzCRJAlr8rlkikdoaC0nK7Uw4hifN1xrpCjHdsH5ZWBoWAaB2q1aNR9JyfcBOGm4PjF/tK8k9kGKGYbrqlgmRU6+kwtSuHLuMGravNz3dmyVZBj+LlC7wzm3R0rt2ZknkmZrZH9dfHV/AOp9AeZ/sZdvbS5BjcMBOWfYSKaf04WnNYvn7lrPR8+/CjubaEu0kDkuevhm7qxRpAecbNkVacrKSh7OyD4OpJ9WfYoiKczOmR12nNoV3behrMGFPaETS5SKtT10enRbe5I9PpNNY+P7+rVlDhyhNFg6ffqkmHAY2Sw/PvgxAsHCocdXhtuSsgps/kRG9ilTMeX0M5m65CwWXncTAO3V+io2ddjAySOz8ws49aaLcPx4AvUjuijanU3Lw9toq7BgtUT3B/AG1bgEFrtdP0YuGoEJiYPvlvfu67t6b25uxtWpC2CJtv61WRsr38Qv+fFq4deWmDWEvFOXMuL6Kxh+13nsyNSHcse4AEUneUkb4qKhtIiqVbcS9MQe5rNyQ58/JFn3txCKn5GTfxJ2nO7AG/4Oq2qAT2t3kWvLRTK1c+rQedBYAp/cDx/9FprLWLmuioPBAHu8kaHiUxYOISnVyp61tbQ3haJ3UiZmIEsSxS/pYeaJavSK5umpKXTZWti/ryZi3zh1KIn2ZMaq+Zh66kulDOP9PQ28kxCgwqQyY0IttFczOUfXfm+q3hvRTl9unaYXUf1P2X+i7v+kbDktQZg/dCmq6iNF0cISOHpL9uK2wgOuV/nv/v8y9qDA5AuS3uwir91LbXtbv59/KAumXYJfNfPZ9hcj9jW3fE5H53ZSU0/ghHmfsHBB/OP28YwhsAyCjfUbAbCbjp2kOnfoSGSTi8/KBkg0d+E/4Nq3YHT06sj3njcRq0lmZXH/du5ezHboyaqZE+mwOWP0AjQhsWN/7Mrbh7KqtROPplHu8bPHFZ9z2Lwzz+HyX08jb3wTTWvSsALpS2JrOIqmTcEvBbC80tqvGU3VVMrayyh0FoatYlqefZaSWbPojFJRvK5NIsvZvzq9pFYfLEdkxVdYrLNzJ4qSjNl89FPyt7r1FVWCNdw/p+2116m49jqCLbHVzm/vfxuA80add9Sv60jYvHUPqhRk7vSQ5seakMCi73yPvDH6qrq93oNZApsz/twz6dlZnHr9haTdPoXd6S4OBlK5YGx0vyZ/UGAxDTxUJnQ7lQYcFjwmGde+tt59TmdIQ7BgwQI6uienpCiagx4+rd3JdR/fSbFUikmLLTBpmsaHrfqEP+bkKSy89CLOv+VaTjtbN4WKYOwFlj0hFI1plgNIwgJIJOeFO89GK6S4ct9TtKggRB5CSJw/7mSoD1VAFtv/zY/e0P2i0qOUQ5AkiSU3TgQB7zwROi9tQjoBIciv8DOrbTb+frQOanYXWqWd9q7wkN2Rah4Lp59PukhGG6kvWt7UTuLH/95Kq13i1is7WLrnRnjtRmblj0IIiV2N/dc1unL8lUhIvZraQ/nH9ifIs5pZNOoqZNmEX5MIBkPXJQIB9hRIfDxFf5bKsyU04LGzZaozJM55/fKIAor9kZuSTr1vGrhfpcvTxksf/4anV5xPe1cT27bdAOj1g+z2IV/r+kF9MQSWOFE1lX8W/5ORzpGMTj12lZoVWSEztYuS2sgVSRgJaVAYme477BCLgscfp8OdYob87srBs2+K2J3hyKLRO5S2tuhObtFo9IdevlfrYocNHkpKRi7nfu8aps1sIqh4yZsVWxiw2u0Uj68hzeegtia2p/+KshVoQuOi0ReFbW97/Q0QgvY3wldNmtDociVRmNl/QcetFTUkW1wUZsWXUM/nayQhoTCuYwdLZYseDZWZFHo+hRA0/PEPuNeto/31N2Keu6NpB4mmxPhD9r8kaks6aE+pI8sRO4twR4uXRNvhmWlT0tMpWqTX7DpzZB/fpqAPuqNr/EGNJNvAJs2E7mP8fhUt1Ya5MxTul5qayvDhw3E6nYwcOZLGdt2MlZUSqQ1zeZu4+rUT+cH7l/duM5t0oUNVVd5++222bt3au++TTyp6RQmtj7+K3O3DpQ3gw3Jbka690uRU0jNPAUnQ2rom7BhJkiMWBBtrPiNJlmj3WLCLIWQmpoLaJ8SxsYQggkUpybz7y+iau5wRTgrGpdJc1UXpZn1xpZhkepZZQTEMn1xNly/6gmfWglEk+Jz85S+vsLesnId/9xz+7lT97a36OYHp13Br8Df8uGEJRdlJrP/fReQ3d49jFatxmkBW0zjQ3n95AJvJxvTs6ZS2leIOhOdz2Va9kh1dLq4cfTayrCBJCh6hEAyETNLmnFzautcpJ+adSH2axM+vU1g1USYzkIxPrmbBc9fgDcYTJqoze/JPSbW2sH7tDNLFPxmWtJ031vwF0Z14MDHpyPJ5HW8YAkucfFD5ARUdFdx38n3IMep7HC1kSUGSDi/ZUw/+oEq7J9Cbmj8uzv0rLHkAplwWdbdmnkGyHD19djQS+jgpznQOvkiiqU5GLahFkvtfHcxerA+GB3bENn+9UfoGEhIXF4Wb0IJ1emhh5/vvh23f3ViBFkxmUm7/6fa316iMzewcsIAiQFfXXkAlxTljwGMPh/Kq5+jQLIzJDjkoap2dqI26qajh4YdjntvoaaTQWXhMrutwEZpAqk3EPrR/c2JXp5/k5MPP29TzpvV+g94O+NNUWLYUhCCoaQTVQ65h7V/hnZ/pvl/d2CwKAkHAr2IZkkyiELhb9ElTkiSuuuoqbr31VqxWK00e/TvJdGZFXM/y9d9lS2d4JJPdqs90paWlfPHFF6xYsYJA98T8+saDiO5XRO2Tu6U3SigYu//q6jr54179HfAGzN0J6yAlZfYhR0aahBq8raRbrDQFixnlmKpvdIQiUaQ5N5GjmPEIQWJCbC3PkhsmIskSHy/fi9otXH3mU3kBlW8tWIgkqXxYtjXquafPPYmkeV6c5UNY+fB+Evbn0VKlCxO+Rjf1aFz82FreDI4miInnr56Fw24Gb1uokfYqEqQc6txVUT+jL+eO1P3DejSSPfxhw72kmSTOHR9Kfe9WMhC+kBDkPP88li3WhdrfzP41AOU5+hf33qXvcenQO2mXtvN6cXgRxf4YP3QanoSfU+c7gdrgudR5xlJg0osjZmUuJSP9+DLxHimGwBInn1d9zri0cUxIn3DMP8vthSTbkanw/vBBCZqAq+YNIpV+5hiY931d2xKF/OyTcFra2FsdPbnboUx36EKKBMxPjc/HowdPRz2mtgxsoweuaZOVnUeZswbzJk9Ms1BxczE5iTlYlXABTjJHv9c15XpG4LnDCmN+rqZplDY7mZQbn09TfYM+yGVlHf3CgsV1n5JPHbaMc8LDpeMQLqs6q1CFysSM+CKXvixK91dhCdgZOb7/vEddXhVH6uBKEfRF637VegfD/R9DZw1UfQHNpQzPSKSssQtPj8bQ3QLv3QnrnwiL0pNlmSAQ8KukTExHliQaNzeE7e8RbDv8HchCwnSIP1xtVy3JCXoqfzMh7YtV1Y+rr9d1D5qmUdGdRbu03cPwBGv39tDzL5sG1rD89p9ben83K2qvWVhVwzUIevKxUNsuVaW8qwUhbGBq59Sh3eUHhsyGtBGQPgoKZmKXJbwDaHhsiWZmnDEMvyfImldK8fqCWLwaySOcLCmajhAyqyq3xjx/4YLQAqA9rbb7ngVdBzsoRUUCfj5BF6SCPRpnW0qoAWcBGdZ8OoLhvjDevXvZN/9UWl8MmYDOGK6/u++Uv9O7bWPFa2xub+E7RefhsIe+s6CmhX2/ad/+Nqe4dQ3vhcvDfdjaTT5uP+lihGbh4wP9FILd9wE0hvvafGvujVyxdDlXLv4DY8f8tHe7MI/8xpiCejAEljhp8jaRmxifn8KR4vUrOOyHH8DV1OnjmTXl2M0Kl846/GJwhzJz9HxUTaa4PD4/lknJCTw0poBnJg0nsR/H1Wi0792OhIxzXJwJ0OY6yOtMp2pPpHPZzqadeFUvJ+RFJkSzdte5Sv32t8O2b62uAzRmDomdqbSsrgJ30MbkoZGr5Gi0tq5DTxh39DUsG/c8gEfILJjwy7DtssOBnKQ7Vmb84AdRz/2sSs+hcagz8lfN1i0lBCU/s6fGfgZ8XX7cqiAlZ/AavB56S1j0/NLex39s+7+5ZcEoNAHLespaNPYJo93wj7C2VAmCAY2UsWn4BLh2NRONgtShaJKgviHcV23xq4t5sFhfId/5cgc3Nev+cvNK9ec02MfHob29HS2gclANUtCdyVoN9tWw6JOVOFQ71IeSzpCpRdUEgYDu5yRJ4eOP/rfezgdN7Yz6bAdVviBNARUhZC6c0K3VM1nhe2vhe2tAMWNWZIIDCCwAs781HHuSmR2fVPHcP3diRmLq1GyctgRMWjqlbeH+JWpbG/vPO5+G3/+BkQXDOPG2PIZfLfOT31wMCBIUwTzMbEflkQsLyHDoGqtd3VmLe8zp9SljOevPz5NpzyUgNxLsk2Sv7ZVXCdbX07Lsmd5tdpOdnMQctjZs7dU0P7H1UTLMJi6f9ouwa1RkU0RZhG/NWsy3Ni3CZQ/PZl7SUoLNbMasZVLjiuG/WLMV/nURLD8/5kJkxuj5lGqP8kHFfDql+LJ5f50wBJY4afG0kG7/cirYBoJmUqJklYyHDk+A0/7wKd6Axv+e2X+tmsGSnJBCo28knR2xa/4cyjX5GSyJUu58IDwHGlDNbhLzYgsMfZl5wik0mVqRnq2jviF8pfT37X8H4PqJ10ecl3nrrSSfcQbp138nbHtZgwubvQubObbguOmAntxq5sj4tG5dXXrCOOkomxRr2/eSpe4jmHwKNnO4JkuSZVKvuhIlLQ3n2d+Kev4HFR8AcFJB/z5RXza1+9ppTakh3xm7onZXd4SQI/sInJi7J/be5Mh9NYwpQzlvaj6KLPH6lu7nqq+fRl2oii+AJusCi6zIeB0W5ProEWimnurN3RpB96ZNeHbu6t0/pkqQVxNgbEcOj+79BaPdhQA4HKFIqDFjxlBV2U4XUJCu33/fgqA9GhbRj0loSJKVFCROH9GEJ2hi2DDdf23fvt+GHaf7sOi/v1zfigACchJurRObKCAjoc87brahYubXT22i0uOjb4UBoWm4o0TDSLLE4hsnIgT4NrXQZYY5s3LxBgIEpVbyEsOfgY7338e3Zw/NTz+N5vUyrWg8Z55wKlazBSn1oO6HM+QDfnHXiby54hW2bv4IB7B+d7fGa/y5uM55knPrbmFXYw7F5RpIKnubQ2ahQHe+FH9FRVh5g3NGnINf87OqehWaprGto5UleZOw9NHeCiEwqy2ocnjkWmZmKtmtNi75qIDM1pAZc1+bPpakWvJo8FZGflEA5d2ZnTuqoSG6ltvlC/LwRwov7r2QZu/AUXNfNwyBJU7q3fVkJhz9tPSHomkammojJeHwbPK//2AvbZ4AvzxrHFfNKzy6FwdI1pmkmnYcdkXceNFqBGpmW9wqzURrIs2T9dXR3mfCbcBra9eSYctgiCNS+LFPmkjBo3/EnB+eBbK2FTId/Xvs72toJ9nSRX7awBkk/YEOVLUTp2PagMcOlk923o0mJBZOvCfq/qxbb2XMmtVYYiTA29m0k6yErJiJ074KhBBodVbMef1/B64GvSRCYlb0yD0hBGVlZXi9/USpHaqJyO4jgBadhSxLDEtPoLKl20zi6BNmuzB8Va1JEsGALjRYR6eQpAlcdZFCi03RNSKeoI9AfQMVV15FxZVXki/rqdndVol1o/Np6DiFaqUVK2Y6qlooKirCZrMxYsQIkpOTef6DUuzAnHH62NRXmSF3+5CpwdgaDl9Q4w7Lq3zf9S9UVWA26ZOcyZzCPpeXJw82ENBEmIal2qsLbB3JugBs80U+/8+s2Msz++roRHDpjFB/fbjsSZ646Wqq9uyKOKegKJWEUbrAfcbNk5AkiU/2FyPJQeYNCTdX9ggTqCrujeEmlNr5a9h/0h20Dnuf+nrdRCRJMMzsZ2N1d+FaSeL3BwR1pDM8pZ6GVt3suKmmTzqJvn5pfcahRcMWAbCjcQf76j/Gq8H4rPCK3Bsq3yBT8VKQG54TKTstnZ5ptzE1JPjWuvTrzLEX4JEqe1NohOFpC/0eJWEoQG27h6AmWDg2iyUTBp/e4HjHEFjiYE3NGlq8LV+KSajF4wJhIj3x8EKnyxpcSMANJ484uhfWzbDck0kyu9hevvmYtA+gBgOYmjMw5UdqmYQQrFmzhj17IrNbLrrkAnYOrySrzYnfr0dZra1ZiyfoYXFh/InaNKHR2ZXM8AEihKpbvWQmdMalMamvex2ArKyjm3+loauSZM9G2q2TSEkcfOrtz6s+x6t6OXP4mQMf/CXS1tqF2W8nr7D/2irupm6BJTe6hmX79u0sX76cN998M2YbPaaTXv+PIXNhzvdgyf2QqGtVLYoc8uBIHwlD5kByLowMd2rUZNC6BYSsufp4UbcuMu27N6ALUDaLDc/mTSAEwutldKl+P3Vpugk1yZ5Ji6RrkSrW7iE5OZnbbruNK664Ar8vyCsVTZyVk0Jqmj5e9PVXkbqjhESMIoqapuHzNHCF/ArT2tczWS0jOVkX1g4eXMb/7DnI3aU1/LuuJSwPi7l78vYmn84Ztu/TWRtZL+m1tZVkByVK71/KVWfr5iwhBHtXf4oQGiVrozuWNgWCdJphygRdAPt4/+ecmpJMR+O9vLbhlqjnHOqULyxegvYWAgmNNJeGfE2S5DY2ubyc8+hzLHzwnyzfZOfssXX8bMkIRCAFIWR2NYbKglgKC/X/R40MK3hokfXFZEALsHznk9hlmD/icloDQXZ26kJtecXjAJww8oawa0tPSUVSctgzLFyA7nHCPnPkIpB9vLD9k8gbtfeJ4BsWvd7XkLQELIrMKaMzsA7SDP91wBBY4uDRTY9ikk3MyDo20R19qe4u5pWRdHir3dREMwLo9MZR8fkwmD76ZPyqmZKDHx+T9gE6q/agBBJJGB5pCqisrOT999/npZde6o2S6EvO7FEkaQlU7NNVrH/c9EckJG6cdGPcn7+7oRItmMzk/P5NgLXtQbKT4tM0NTbp1bOPdobbz4rvxyIJFky+77DOf3Gv7lB43YT4inN+WWwr0QXSSaPH9Hucu1UXTBNSowuXZWX6BLRz587YeXp6Jrye/bIMSx+EeaEJst0TwNaTi0WS4Nq34UdbwaabQrrcAfz+IEKWejUayUOS8UgS3uJIP5ZmTyMAGUmZqO2hiKCbW6eS6DdhUk2YZd3E0C65UdFQmvRnzWq1oigK76wso0kIrj59dG/ZAE0TrH/jZVY+9ThSt40rltPth5+UY9JCUSwXs4pzP/03HmyAxuZOXTP0VFVjmFA+vrvw4CmpSQx1ZtLld+L1h4fi+lUNu5BQ+kQKBgN+vC5d+Nry7n+jXpPmUVHNIQFkgulZ/pv8e/6m/BxL+/u0unWzXI8wgcmEfUb4uCyh4dZkEj0TcPveoEfQWlikC7VqoIExmR6umuHm3osvZOHEeSRbPAh/GuV9QptTL7sU24QJZH7/+2Ht72/X/WmSzSberd3N0tzxOG2pXLvjAKdtLGFrhxuzv4IaaQiWQ/ItKbKCZBtD8QgP47tCmrwegeWyySeD6uTVPe9Gdk5PGgtHPmSOi9wPWE0KCVYFTyC+SM6vG4bAMgCugIu9rXv55ZxfRjUpHG1qOtoAyE46vHouJ43SVyZvbovM/ng0sFsSaPKPwdO14Zi0D9BVuh+BhrMo0jekpka/L03TKC8vj9ifnJoCgNflQRMae1v3Mip1VG9q7Xj4/IA+IJ04fHi/x9V3KeSnxqcJc3XtxWRyoiiHH34bDU9XMY3CSY4zsuhcPGyu30yqLZU0e3zVoL8sauv0AXzcsFH9Hufu9GOVJeQYoe9udyjaJVY4fs+5sTQRAFaTjMuvUt/eXZVbMYE5JCT98Ver+c0dn4IEWvdkIUkSvvwkktr9BDrDJ/QGVyOJqp1ERxKKM+RrMPScS7gi5wqEJAhoPto6y7FhRkEmMzvcJP3CpiomWixMnpDVm/PR7+rg8xeeZdv7b9Fcpz/HscKaX1xTwRAl1G95UjObvVNZiz4x9ljIdru89J0qbh6SyVmZTn4+PJf6DjcWJYAih39GYX4yrkMUpIpi6jWtmK2RAqbbEyCpwY+pj/mlUhmLV7JTL+VSLw/ltbV6bprkxYuxT5lCxk03IVsPifxDRUNi6NAbCCQeICfLhdls5ry5k3nklLt4cvFQnrj+Jn514bdJSUzBYrZy9ng/mj+D7fUhp33LsGEMf/UVHGeGax97yles2PcKPgHXz/gNHUGV9e26gPdWYxt+7AiiP5NBcxBbIBGPJdRn3u6qyyZFpijxFEo9K6lsawg/MW8qXPkqXPVGuLnqEAJBDbMSnyn964YhsAzAxrqNaEJjWvbR9z2IRn2nnhkxJ/nwHKa+NVm3xX5S0njUrulQzAmzyLAU4wvEn+BoMPgrOwk6mjEnRoZC99Wq1NZGqtozk/SIneqKA7z16DOc2XwSi4cOTquxpboepGC/NYQ6umppdKcwMmtgvyZN0/AHmklIiKyHdKTIWgeS6fCSvbV6W+kMdDIt68t5tgdD3cFWXLY2Eu39axo9rgBWc+zB2dpnMovlD9VrOuknmubHp41B1QRL//w5vkCkVk1xBcnzSTg9Iqyd3CWFSAgOvhUe5eLrToQmmRXs0/XK2pLNRsLcedSXHiSg6M95S1MJWaqD1rxPqW8LaTWb67r4wu3lwgn6+27q1v54W0LvxL4t+vFaFB+WlvouVnW5mTQ8tFL/S/A8JHeQV7kUZ8o87N2C3AXZqUiEwpqH2q08NXE4k5PsvLPbzPzhLZhN4ULDxCEpNAqN+oaQ/46sKGQO0f2o5l0cHpUXCKg8t1z3a7GP0N/7iob9tJHSe8wqFlDt0nPGKA4Hhf9+kcwfRka+Ofz7SJJVciachcWbz/RhDXz/+98nyeEg1dZOZ0ek/8w9F12G5s9ANkeP6upLdmI2FtnCAVcLSTIMTR1Lc58kmY9VNqBKVtA8Uc/3WV1MrV/IAUsxTkW/v05/J54dOwi2tnLvgh8gJJWHVkXJqDvqND39xAB808KZezAElgH4wUf6C3EsCx72pdGlv+B5zpTDOj/RasZmlimp7xr44MNkVP6p2E1ePtv12bH5gHobZEfP9JvUR/M0YUKkBsaRkUqVs5GJm3KZWD+cW+ovY1R1/3k8DqW03k3CADWENh/YiSoUZo7oXwMA0Na2DhCkpx39KBwbXoQp5bDOfaXkFQDOH3l8VXHVNI3AfhvKkIHLOXg9QWyW2N/T0KG60Dlq1KiYyf16B/d+NCznTcvnjsVjaHH5uf7ZcO2ipmkkCYnmbqWBrdnPhhWvsuW9N0kfnUKH1YR/R/hE2OnpwCn0idmcnc2w55YzbPlylKRE/FoATRZ05A/FnjoEUbGFhonLqC98BHelrmH8bN1BNOC0k4eAp7XX9KL1CXvuaNaFl2hOt9c8/QV+4A13ChuVafhTh7NKTERyB2mT0sjLOZcFafqi6byslDCn0x6eWbWBZo+DeaMj34GaZjdmwHJIhuCF193MpEVLmLwovLjqnx7dSGCzHlL9g+/pAtzOkiewEhoH0r0lvNpiprzlEM3DIZg13cQmywop0mw67aspW3Uba7bq9ddkEandMZnM3DzLgmJtwq9GH3v6kmHXNbZpFl1QS+xj+lqYloykJCFr0Z9fzRxkqF0X3JK0FP38kmrKL76Eqlt+wLisPDRvAZvqt0Q9Px76K1PydcYQWAbgrBG6k+QT2574Uh6Cpi5dKs93DF5F3+kN8ON/b8UX0EJJro4BU0bMpcXrpKb670e9bb+rDXN7Jpah0TVMI0eOxGQykZWVRVpa9D5SJ+hmmtLh9ZRl1JK8KXLAPjS1dl/qWmWyU/rvv40HqlEklUlD+jcbQShhXM5RLu+uaRoJBDCbDy/c/sPKD5ElmVMKThn44C+R9du3k+hJYeKcgU2wXq+K1RpbYJkxYwZnnnkm3/pW9JBuoNeHRetHYAG4ZeFoxuYks7q0OUzL0tLqQ0FizCl5BMcmk1Ck8dm/lvHR00/Q2dxE4uwcklSN2vV1vefs95ZTKIfuL2HmTOyT9EiYohF6lWRPahLuNA+BjJB2ZvPWb9NRVsqqfU0MUxSGbPwVPDwaa7OuNZDtKb3HFp54NgB3vrc3bOwSQrCj27S1qaqdi1y382jRC3hsiUgelZuSNpGXdzF/GjeU/04fzeIMJ1IU80aC2d/dXuT7Vd7iJlVScCaG24UKxk9k8Xd/iDUh5NshhMBepi/UxNSUXhOd5PuEEYRMNENX7ENF4vGNb0R8Xl9arFNoU3VByZGiaw+9SjnD7LcwY/h/GH3SHVHPG585FgGUt+yIur8vWSZ9fLh8tN7HmRYTBTb9Xq/Jz0AypWIlusAiCQlZlrGoNqaYZjEpYxK/Qn8+PZs309pQi2I/qJc6MAjDEFgG4K65d5FgSuDN/W9ysDN2rZqjRavbhyR7sZoGn4flsr+t440t1Qhg0bhjF9JmNplJSL+NAvtGVu1446i23V6yEwmZ5FHRzSdOp5Mf/vCHXHfddTHVnlMXncTuUTXMvPg0bB4TXc5w09XjWx9nzvNzqO6KTNCkaioul4ORWf2bIjYfDDI2oxmbZeAEf+3tm5AkMwkJRy+JH0BtRzEWGTKSDy/fTmlbKflJ+XGVFfgyWb9qNx5LFwvmzh3w2EBQw9KPwGIymZg9ezYpKSkxj+k1CfWzIHnonT2M/sXblDe5EEBZY0iDWVOr/56eYefWH89i/ozQu7t37SqGnlGIW4L2/5SiBlWEEBxQKxmRVBj1s3KSdI2gNa2CyQveZNTZegjv8Jw/oFndbNl9BWta2jgxOxl2vAxaAFvpWwAoiZnkjx2PIzOLzIm64NMYDLJzZ0grsX3Tof5teo6Z/EwfpgYXc6UvAEg2Kcxyxs5vc3JRIRIav37Hy5bS1WH7Lpk3lAZUfvjoWtye/gMAVq3T30P3iAR+cLOuXaF+F3X7WkgIVHCd62/84p3fs/iTNiQJPqn6oN/2+jJkzuWcOGM9J531CaNO/DHN2aOYtW43T1RGamlGZ+jOu6VNGwdsd1F6GrMSgpw+8lJA19L9bUIh947K5/R0B0KSok6uXr8XW4cTu9xKgpZEUAvy/FnPk+EP+bZVrtHrOB3wrYz7PvvyzdSt6BxfI9VxSKI5kb+e9lcAguLYaS16aHP7UUwDqySjUdHspiDFzo67F3Pf+XFmiD1Mls66ggZPPgcORi+1fri4D9SgmjwkDY1dYNLpdGK3x3Z2TUxM5vQbLqW9rZV8VyaJk8Mz0b5eqocYN3si7dVbaioQmo0p+f37pjR0KeQ64hsaPJ4qrNbBmaXiYX+DbpIbljl4U9O+1n34VB/zcucd7cs6IoKqSnBfAvLITixxCO2BoMBiObJhrEfwjeXD8t7OOh7/tAxNgLfbvJLtCJkVGrr9NLK6k9cF+/h2NRwoQzHJJC4pJEkT1KyuZeeBrTQprcwqiJ5ZOLNQv+8hw8NTB+wreZGZ816lU02jTsiMye2Cbk1h0ub/0+9BwCV3P8B3Hv0bzu5yGLKAf7yzl/9btpnZd77Dt1/ZRsohGpPadi+uBsAtULrKiCRycTAkYwif3T4LgKdWbQ/bd+HCEVwxMpu3Gtv46d/7FwBWv6JrUZL7llfY+jxLmlq4v87OZfds4LQVehuaeyQueS8HWuOrQi/LMjZnyOH+37UtVPsCPH4wUmAZmjoFsyTY3xqZMuFQpg3/Dlek+6lu29a7bbojkRuHZCJLEkKyYJYiNU/vrV2FyXsQzxdvY/EF6QjqeWHkxJBgWDR9NhY1H0kSTHp2EgfbmuK6V9DzsLj9Knkph5cW43jHEFjioFcd+iWIrh3eIBbz4YUkd/mCtHkCJB9mltzBIMsyFtmNyXJ0J+JgdRA1vQU5Sjn6wbJ/7Q7cspcph6zU2336INHojnRMXtMdeXTS8Nh5bPwBDwc7nIzO6j9PC3QnQNM82O1HV7sCUNW0Dq8mMSxt+qDP7fFfuXDMhUf7so6IT7/4Ars/mZknDuxYCBDQBOZ+NCzx0JvHI4ZJ6MF396DIEpt+eRq3nTaaO5YUkZ4UmlxbmnXzSl6O7l+VlBoy0U1dopuUc0/Oxwu0r6vlza3/wRFM4sQpC6J+3rqG9zAhGGLR0GoXs79jMjXkoyRvIMExhDHTfg+ANaO99xzRnaNDaAJZVlBMpt5Q5zFJNv7T0snDe2tpEBoZCrz9gxNZd+dCfnFWyOm23atrC5s6oznTR9dmDsnI4bqZ7by5dyjPr1oRtu/e66eTIyuUN8c2vwIomXpfnnZ6H/NqWwVZQd3stidNFwjfmSHx5NIHAIknNrwRu8F+HE7Lu5Pe1fuDtAbCF6AmxUqm2URFZ/9VmwFGZOjCZn1bdPORqnpQD5leNU1Q9YKCGtBNfCaPl05VD7KwT9NNV+ahQ7EOKeCFc5b1nnf2K1fR4o7PJ3FThZ4WY9YA+Yu+rhgCSxz0rsC+BInF5RVYLYcfQ9/lCzLn/pUU17QPfPAR0NLZToq1FWfy0Yt80YIqpvp05IIj93AXQuAolanMacJ+SKSJSdYH5qd3PR1hBthSVY8ke5mSG9t/Ys3ejfhUKycWDWyK6eoqBgTJSdHzJhwJHlcxLjkdkzL4ulOra1Zjls2MSzv613UkbF27H7etnROnxyeEBTTRr0koHiISx/UhGNSoaHYxPtdBSoKFW08bwy0Lwp1MO1q9eCRBendl9IKxE0hKTSMlO5fsEbqmUFZkAvlJWFu6eL/1I061nYA1IfoqeFPjdkZYNSwy+BNzeCDlbn7Fg7hdpwPwbnEZihTk9Okn6YUGAf+J/xNxD2azPryfOimHHxZm8eMxOVyfb+fjjJ+Tt/IKchw2bjx5BCX3nsb3p4RqIqkiSHFxqIie3kmx++/2b50HwNrScBPrfc9uo05TmV6QEvtkwFquCzRmU5/pSFIwA9nBIC/Ml1k7VmLujx7npMJxJGlFfFTzer9txkKO8XsPuXYHVa7+nXoBkm3ptKsKna7I2mUAZllBPWRs6Wrt9mlR9PtVNIlgd5mHpFNPJefuX1Hw6B+RJIkxGbk8s/AtJN8wVHMV81+eR5unf8EPwNsdUp9sG/yY8HXAEFjioEfD8mU43bp8gsTDLDy7oEg3Y9R3+Ljsb+uO4lVFsq9Wr2WRn3H06hW179mFEkwgcULs2jHxUl5aQo4nnaSp4b48PtVHh7+DM4efyfbG7ayqXhW2v7TeTXJSV79+HZ/uKSfB5GHOqMkDXkd9g55pMyv76GaSbXHXkSe3kuCcM+hzVU3lYOdBhjuHH1fhj76AD2m/E0uRF0UeWAjxt+t1apR+Us/Hg6V7otzfEekk+eqWajQBp4yOncfH1RHAp4TyuZhtNq79w+Nc9dCfUEyhiSP95AIOJFTQZGrl/PEXRG0rqPrZ09nMCKuuXSizDcUtwCMloMzR6/usLm1mXEYdGc48OPNhmHYV2pTL0RDh1Zq7n2GBxE9unsWPvzODu05zIbdX6HVpWvSVfk1zOTOyt/PYec1cN+E5chIbaGg8NHFZ7Ock0ZbAxKwG6rpCmt1AUOPVvXXMTkrknhtjJ9xsaHRj6m57SF6f3FOZenbcFS47J538a4Y+8jwnzNGjfObmnIxXqqasJVauqWguwjoju6taF9jMOKPUCRuSmEOtJz5thltKIuCNfg2BQDtBKXwgd6TbcSW3oFr170gSoNGds0eWSb38cmzjQ/mUZgwZygeXL+/9u8MXvS5VX4Zn6KalkvrOuO7h64YhsAyCL0PD4vHLOA5TOl523Wx2/mYx43KT6fAG8R/hQN4fNY16zY2RuUdvhd6xrYSgtY20oiOvGly+bhedipsps8PNQb7ukMXx6eOZnjWd/9v6f2GCaGO7mfy0/ifxrVU+xmW1YzYN/D21tW0AJBzJAws3g2HzgX9ilmDisCsHfe662nVoQuPUglOP6jUdKStXr8MaTOCEUyYOfDAgvEFMQFXFkQ3Ow9J0DVwgSkbYg636qjaxHy2O3x1AM4cPpdaERCyHaPYyJqdTa9b9EUYPj57ob2vVW7g1WFj4PYoyniNr8tm9+16o17WmNR0SwzO6nTRHnQbn/gXZlowgPPmd0u1MrPVdaLX1CRzY8TIA67bqFb7zMsZxUv4XyJJg9KjwGkkDcfJIC1tqM2jqTnz5yfoq2tC47tT+o+iWP7kVAPPs9PBFwoxrofBkEhbdxe0nXcRpo6b27rpl9sUA/G1DuAkqHr6dm87U5ARuL4xuyh7mHE5LUMUbiENoMWdhVlui7wu2osmRkY5yjg9N0n3qLOZktCh+Ln3JTk4lU9L9zMzywKb+Ed0CS01b9BwwX3cMgSUOvsxVqD9gIiXh8H1Qkqxmzp2q15RZWxa/s9ZgaesswxVIIjnh6FSwFkKg7TejDm1FUQ5TxdSnLWeZicrcJuy28EnDIluwKlYe2fgIlxRdQnFzMVsbtwLg9vvwepyMyo4dIRQI+ihpdjI5P84Mt65SzOa0o/4MNTZ9RJNqoTBj8MLdyyX6RHXh6OPLf6V4XRVdic3MGBdf9WtrdiLTZmRR3RXE3Tiwujw2Aishh9q+XDlHz5exsaIt5tkBj4pkHXgolWWZ+sROrJoFhyMl6jEb69aiIJg/4XoKJs8L0wIszXAihKDRlUReSrj/lCxJaISbhEzRMvj2rUSdmEln134yLbpzb1vlZb278vIuGvB++nLliSeiCZlX1uuO4JtKW5AFLJpTEPOcDZvrsFV5cdskvn3pIQsfRx5c+yZMiEwFMDojh0R1HKtqo5cH6e9Ny7dZeHfmGC7LjT5ujUwdj0CKK1LIZh9GsuSJmkHZLLpQLJGO+6kZiSjKVE6+8jskOoaiMnBpj0vHngdAdcfA43lKghmzItHYeXiBG8c7hsASB70moWOsYRFCoAVtOO1Hlr59VKYuZVe2HDspO+CvwK0duemmh66D+zC70kiceOQFJg/s3UOWNxXntMjrs5lsvHbOa0CoJojcndf8rd07QZiYPTS2/8rnezbhCiRw6tjYUUw9BINdBINtJCcfXtr8WGiahsV/AL/l8PyHNtRtwGlxkpd89L6/I6XL7cJ8MI3k8WJQYdY9fhqK/fBt9rt2N+EDigqcEftynDaGpSXw0Z4GFjzySdQst8Knotji86PZlnSQnEBBRMG+Htp8bSQqkGDRI3ymOULRI4szHHR4OvGqNvIOCTeWJQkB9J07e4TkMA1LZh8T7rizsduipz9wufaF/R3byKKTn1HIEEcbq/bV92osBWDqJ0X8F+tqCEiCHz50MkmJgxvzTshdQAd7KI8aLXT4i4PRmXrUU2nzwEnbUpOLsMhQ3xEeVaQJjSTJj90a+X7lD8nEpibjmDoZsykBTRpYYPF0Z/du6lutOQaSJJFgMdHli6/G2deNb6ZnzlHmy/Jh8QR9CM2OM+HITDmljbqtMzPJgtsfJKgJVFUQ0DQ0TR/AVE0gRPfvQujCkqB3u0D01oLr+3dPD1ipwmJOo6V1LUILoIkAQgT1JFJCQwgVQc/vGgI19LsIoIkgQgv2/m5aPh6FBCx1Q2l/90D3p/QMPKEPFr3/hG/vK0uWbF5HgZLNe2IDH65bg0CgCa33J6jp0QHl7eUAPLvrWRwWB2+tyQfyeGuTyq7y7RH3LQRsKdtFktlBqvYRxcUv6dfYqz2RQgO7JNHSouem8Hpr2LP3bmTJhCQpSLJZ/18yI0sKIHf3nRr2v6zYsFgyEEJFU31omg9N+NnbtIUUJcjL9Qc4uP7+3s+UJAmrYiXTnoksyQS0AAEtEHbvzZ5mOvwdFDoKeWbnMwCk2dOwyBY6/B20+dpwB9zIkowsySiS0vt7NC3Rocf0/K5ICjuadtAV6OLUIaf2bjdJJn2/HH7O1hU1mFUn43Lz2L+1UX/XRPez1zMB9tnW8/eBklaSzRLBklZUSdIfGYnQdyJJ+q99t8mSLjBI+u8r1+l5TrZ7fbi31WA3K/qPRcZmVnj8yuk8+M4ePtvXxMVPrOU/PzgxrC/kgMAap1a0hGJOd54dc38g6EHpM+HmWM08N3kECpBpMbOvSX83Mg4p3SFLoBGuTekRFsKciYedCNOvBudQSMrCBKQPe5bmimsA6AzkkGyuo8tVSlJSH+EmDg3haWMkntqQx9MfLmdk3omI3bBuRwMnTIkRSehXcctgsw5+GvruzHN4/63HeXLDf3lg8Q0DnxAneY6xWCQ40Lp3wGPzU6ZRXQsVzRvITQktSprd1dhlICGyevr4ohGUsZs9e8sxS2aCDJwq4597ngQTnDBkYH/BgKrhCajYzN9MXYQhsMRBz+B0z9p7SDQn9g7eshT9oRBCENACuINuPEFP7zZNaJhlM1aTFatixaJYsCk2JCRUodLWZQIW8eIqmfLqtQRVQUATBFWt+3eNQM/vqkDVNFRNFzSC3cKI2i2MANz8r81Rr+9ocN+JLpxyOVu2DM6HQp+oTUiSGUkyIcsmJMlEZsqVJHom4ivprlx7qGwo9fmv7+ApRR6TI2fxSvoHbG+pQEJCkRT9+0LunSRnZs9kSeESmr3N1LvqqXPVkZnTTmNTHh6/xu66zt45Tv9fFwtMso8zCj/E72/D33Ohokf3JnovXAgNVdUFR1m20N6+GSECujCiBbsFPLVXyOvpB71/9D5SVTd+fwuybEaWrciyBVmyYNeC7PHKuE1D2VS/KUzz5w64afY0IxCYZTNm2dz7rMqSjCY0FEmh0dPI37b/DQ0NV6D7OiWZFGsKdpMdIQSqUMOEnb6fIyGFCYI9x/Y9p4f3yt8b8Lm4ecufAChe0UwxA9dz6csIq0zrSyWDOqcvzd0ZSf+8av8AR8L26nZG3Pk2ZpOMVZExm2SuDyiw38Vzd61FViRkRe7+v/tH1v9vkGrwOl18HHiL364TSEhhwqCMzEsHt+JUNMr2/xFJUpAlE6MlE5Js5qDHxPq9bcAI3i8xE1SqUWQJkywhdycq85V39Qp8PV9BTZuHj/c2IEsSiiQhjb8bAKm0qfudGcs+7w2Mtv2DpORJ4K2jo2M7ZnNK73273Xrf9Ajh0fj+qcNZu38bT6xO4vYl+tj47Rc28cviQs6cqWsb+q756g52YROCNaW6qUP02X/oAqkv+mtuwRIYxcc1b/FZ1RhUTX/ugiJIi7eVIZJGbe3rPa2iqh6CwU40zY9APWRxoOpjkdQ9Fpk0VjUUY9v6OBrdz373+K0R+t0fdDNbQHvtc+z0bultq76rAhn4847neKF6f++1qUJFaIIZyuVUv5JAV2GQ2pwKFry0IEx4l5B6BXpNaARMut/RBX/dxPCMRCqaXQTU0CKzt6+6F5z+oMbE/Eht4TcBSXxDig50dHTgdDppb2/H4Ti8woGxcAfc/G7D7+gKdOkDQfdArQo1pqrUolhIMCVgN+m+Dj2DUkAN4Nf8+FQfvqAPr+pFIJCRCQZsvP/pIoal25hSkIZJkTDLsv6/ImOSJcwmGbMsYVLk3sFKOeTH41fp9AYpzEhAkeXQMZL+vyxLyBL64NWzTaJ7u9STqVzXF/SVDaSQtkmhnbxkL4piQZbN3QJIz2QrA3KU34+fiBSDEE2eJgJqgOzE7JhC+GARQhAUQYJasFcgV4WKpkUKN6pQUVUVqdlOeloKilnqfVYkufuJ63km+/zdIzTJdC8qRLdWsO/Mp4U0hX1VZULT96EJPXeJ3QSJZnxBFY9fxRNQ8QZUPH59xeoJqHR5AxTXdJCXaieo6hODX9UQrx4kc2gyQ0aloKlC/9EEmqqF/lYFJdoO/m6/H4tsYWTKyIgJUBMabl8jI01tXJ2bAULro7kMomlBPqqczXO7L4na59d1WMnQIr+/1xN9lJr719rOy/2CGyY9N5ivOCp7W0by6Obv4ddCJp6xfoWz3dFNPpstQT5MOLy8U+aUL7DlvhaxfW5ikMvSwnPJSJIJRUlCka2hRZPc/T8ymlC7FxRB3mhoZZ3bjsWUHCbs6+NhaAGkSAqLbFVMSE7FYctAlsxIsoIr4GVV7UZKTLNIT8gL1zzKCglluYzxTyVg8VCWtoW0gsQIYb/nR5ZlAkFBY4sTT8t0qts8TClwYjMrve+ALIXGZkkCh83Md04ajhLD7Hg8Eu/8bQgsBgYGBl8jgqqGKgSapmtWVU3XqgYDKsmKSZ+8ugU+b1DFrxBmCu4hzOQpBIlKI8l2BU3zIcvhjucCgaZ6UBR77xYOOaKHgGZCkzLwBzXcfhW7T8MapZDopoNtZOUk4LCb+5g1Q/t77uPQaTckfwr8tJFkNaFIiv4j6/+bAEVWutuTuhdUX58J/P834p2/DZOQgYGBwdcIkyL3Gbj7d/a1MZiIw6SBD4mDeJPCL+onGi9+jkYbBl8XvpmeOQYGBgYGBgbfKAyBxcDAwMDAwOC4Z1ACy+OPP87kyZNxOBw4HA7mzZvHO++807u/rKyM888/n8zMTBwOB5dccgn19f1X1SwsLNTtlIf83HLLLYd3RwYGBgYGBgbfOAYlsBQUFPDggw+yadMmNm7cyMKFCzn33HPZtWsXLpeLxYsXI0kSH330EatXr8bv93P22WdHzQTYw4YNG6itre39+eCDDwC4+OKLj+zODAwMDAwMDL4xHHGUUFpaGg8//DBDhgxh6dKltLa29nr5tre3k5qayvvvv89pp50WV3s//vGPefPNN9m3b9+gvLqNKCEDAwMDA4OvH/HO34ftw6KqKi+++CIul4t58+bh8/n0TJvWUB0Ym82GLMt8/vnncbXp9/t57rnn+M53vjOgsOLz+ejo6Aj7MTAwMDAwMPhmMmiBZceOHSQlJWG1Wrn55pt5/fXXGT9+PHPnziUxMZGf/exnuN1uXC4Xt99+O6qqUltbG1fbb7zxBm1tbVx77bUDHvvAAw/gdDp7f4YMiV3/xcDAwMDAwODrzaAFlqKiIrZu3cr69ev53ve+xzXXXENxcTGZmZm8/PLL/Pe//yUpKQmn00lbWxvTp0+Pu5jZU089xdKlS8nLG7go25133kl7e3vvz8GDBwc8x8DAwMDAwODryaATx1ksFkaNGgXAjBkz2LBhA3/605948sknWbx4MWVlZTQ1NWEymUhJSSEnJ4cRI0YM2G5FRQUrV67ktdciUy1Hw2q1hpmfDAwMDAwMDL65HHGmW03T8Pl8YdsyMjIA+Oijj2hoaOCcc84ZsJ1ly5aRlZXFWWeddaSXZGBgYGBgYPANY1ACy5133snSpUsZOnQonZ2dPP/883zyySe8955ejXXZsmWMGzeOzMxM1q5dy6233sptt91GUVFRbxuLFi3i/PPP5wc/+EHvNk3TWLZsGddccw0mk1EtwMDAwMDAwCCcQUkHDQ0NXH311dTW1uJ0Opk8eTLvvfcep59+OgB79+7lzjvvpKWlhcLCQn7xi19w2223hbXRYzLqy8qVK6msrOQ73/nOEd6OgYGBgYGBwTcRo1qzgYGBgYGBwVfG/3fVmnvkLiMfi4GBgYGBwdeHnnl7IP3JN0Zg6ezsBDDysRgYGBgYGHwN6ezsxOl0xtz/jTEJaZpGTU0NycnJg0rpfzzT0dHBkCFDOHjw4P/3Zi6jL0IYfaFj9EMIoy9CGH0R4uvSF0IIOjs7ycvL6zdv2zdGwyLLMgUFBV/1ZRwTeqpjGxh90RejL3SMfghh9EUIoy9CfB36oj/NSg+HXUvIwMDAwMDAwODLwhBYDAwMDAwMDI57DIHlOMZqtXL33XcbJQgw+qIvRl/oGP0QwuiLEEZfhPim9cU3xunWwMDAwMDA4JuLoWExMDAwMDAwOO4xBBYDAwMDAwOD4x5DYDEwMDAwMDA47jEEFgMDAwMDA4PjHkNg+Yr45JNPkCQp6s+GDRt6j3vppZeYOnUqCQkJDBs2jIcffnjAtgsLCyPafPDBB4/l7RwRx7IvWlpauOKKK3A4HKSkpHD99dfT1dV1LG/niIi3L9577z3mzp1LcnIymZmZXHjhhZSXl/fb9jf1uTicvvgmPhe//vWvo+5PTEzst+1o57z44otfxm0NmmPZD5WVlZx11lkkJCSQlZXFHXfcQTAY/DJu67CI9/0QQvDII48wZswYrFYr+fn53Hffff22fdyOFcLgK8Hn84na2tqwnxtuuEEMHz5caJomhBDi7bffFiaTSTz++OOirKxMvPnmmyI3N1c89thj/bY9bNgwcc8994S13dXV9WXc1mFxLPvijDPOEFOmTBHr1q0Tq1atEqNGjRKXX375l3Fbh0U8fbF//35htVrFnXfeKUpLS8WmTZvEKaecIqZNm9Zv29/E5+Jw++Kb+Fx0dnZGHDN+/HhxzTXX9Ns2IJYtWxZ2nsfj+RLuavAcq34IBoNi4sSJ4rTTThNbtmwRb7/9tsjIyBB33nnnl3RngyeevhBCiB/+8IeiqKhI/Oc//xH79+8XGzduFO+//36/bR+vY4UhsBwn+P1+kZmZKe65557ebZdffrm46KKLwo7785//LAoKCsIeyEMZNmyY+OMf/3isLvWYc7T6ori4WABiw4YNvdveeecdIUmSqK6uPjYXf5SJ1hcvv/yyMJlMQlXV3m0rVqwQkiQJv98fs61v4nNxOH3xTX0uDmXr1q0CEJ999lm/bQHi9ddfP8pX+OVwtPrh7bffFrIsi7q6ut5tjz/+uHA4HMLn8x3Vaz5WROuL4uJiYTKZxJ49ewbV1vE6VhgmoeOEFStW0NzczHXXXde7zefzYbPZwo6z2+1UVVVRUVHRb3sPPvgg6enpTJs2jYcffvi4Vm0eytHqi7Vr15KSksLMmTN7t5122mnIssz69euPzcUfZaL1xYwZM5BlmWXLlqGqKu3t7SxfvpzTTjsNs9ncb3vftOficPrim/pcHMo//vEPxowZw8knnzxge7fccgsZGRnMnj2bp59+GvE1Sc91tPph7dq1TJo0iezs7N5tS5YsoaOjg127dh3Vaz5WROuL//73v4wYMYI333yT4cOHU1hYyA033EBLS8uA7R2XY8VXLTEZ6CxdulQsXbo0bNuTTz4pEhISxMqVK4WqqmLv3r1i7NixAhBr1qyJ2dbvf/978fHHH4tt27aJxx9/XKSkpIjbbrvtWN/CUeNo9cV9990nxowZE7E9MzNT/PWvfz0m1360idYXQgjxySefiKysLKEoigDEvHnzRGtra79tfROfCyEG3xff5OeiB4/HI1JTU8VDDz00YFv33HOP+Pzzz8XmzZvFgw8+KKxWq/jTn/50NC/3mHG0+uHGG28UixcvDtvmcrkEIN5+++2jcq3Hmmh9cdNNNwmr1SrmzJkjPvvsM/Hxxx+LqVOnigULFvTb1vE6VhgCy1HmZz/7mQD6/dm9e3fYOQcPHhSyLItXXnklbLumaeKnP/2psNlsQlEUkZqaKn79618LQKxbty7ua3rqqaeEyWQSXq/3qNxjvHzVfXE8TUxHsy9qa2vF6NGjxR133CE2b94sPv30UzF//nyxaNGifk2Fh/JNeC4Opy++qc9FX55//nlhMpnCTBzxctddd4mCgoJBn3ckfNX9cDwJLEezL2688UYBiL179/Zu27RpkwAGZSb6qsaKQzEdqYbGIJyf/OQnXHvttf0eM2LEiLC/ly1bRnp6Ouecc07YdkmSeOihh7j//vupq6sjMzOTDz/8MGob/TFnzhyCwSDl5eUUFRXFfd6R8lX3RU5ODg0NDWHbgsEgLS0t5OTkDPJujoyj2Rf/93//h9Pp5He/+13vtueee44hQ4awfv165s6dG9c1fROei8Ppi2/qc9GXf/zjH3zrW98KM3HEy5w5c7j33nvx+XxfWg2ar7ofcnJy+OKLL8K21dfX9+77MjmafZGbm4vJZGLMmDG928aNGwfoUVHxvvdf1VhxKIbAcpTJzMwkMzMz7uOFECxbtoyrr746ps1dURTy8/MBeOGFF5g3b96gPmPr1q3IskxWVlbc5xwNvuq+mDdvHm1tbWzatIkZM2YA8NFHH6FpGnPmzBnk3RwZR7Mv3G43shzufqYoCgCapsX9Gd+E5+Jw+uKb+lz0cODAAT7++GNWrFhxWNe0detWUlNTv9SCeV91P8ybN4/77ruPhoaG3vfhgw8+wOFwMH78+Liv62hwNPvixBNPJBgMUlZWxsiRIwEoKSkBYNiwYXF/xlc1VkTwFWp3DIQQK1eujKriE0KIxsZG8fjjj4vdu3eLLVu2iB/96EfCZrOJ9evX9x6zfv16UVRUJKqqqoQQQqxZs0b88Y9/FFu3bhVlZWXiueeeE5mZmeLqq6/+0u7pcDnafSGEHr46bdo0sX79evH555+L0aNHH9fhqz301xcffvihkCRJ/OY3vxElJSVi06ZNYsmSJWLYsGHC7XYLIf7/eS4Opy+E+GY+Fz388pe/FHl5eSIYDEbse+2110RRUVHv3ytWrBB///vfxY4dO8S+ffvEX//6V5GQkCB+9atfHZPrP1oc7X7oCWtevHix2Lp1q3j33XdFZmbmcR3W3EN/faGqqpg+fbo45ZRTxObNm8XGjRvFnDlzxOmnn957zNdprDAElq+Yyy+/XJxwwglR9zU2Noq5c+eKxMREkZCQIBYtWhThr/Hxxx8LQBw4cEAIodsn58yZI5xOp7DZbGLcuHHi/vvv/8ptj/FwtPtCCCGam5vF5ZdfLpKSkoTD4RDXXXed6OzsPJa3cVTory+EEOKFF14Q06ZNE4mJiSIzM1Occ845YQPW/y/PhRCD7wshvrnPhaqqoqCgQPzv//5v1P3Lli0Tfdep77zzjpg6dapISkoSiYmJYsqUKeKJJ54ICxM/Hjna/SCEEOXl5WLp0qXCbreLjIwM8ZOf/EQEAoGjet3HgoH6orq6WlxwwQUiKSlJZGdni2uvvVY0Nzf37v86jRWSEF+T+DUDAwMDAwOD/28x8rAYGBgYGBgYHPcYAouBgYGBgYHBcY8hsBgYGBgYGBgc9xgCi4GBgYGBgcFxjyGwGBgYGBgYGBz3GAKLgYGBgYGBwXGPIbAYGBgYGBgYHPcYAouBgYGBgYHBcY8hsBgYGBgYGBgc9xgCi4GBgYGBgcFxjyGwGBgYGBgYGBz3GAKLgYGBgYGBwXHP/wO1E6bNfkdsNAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in [44, 444, 4444, 6666]: #pick a few random to plot\n",
    "    for u in HDunitList[t]:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotPoly(unitCP[u].buffer(0.005))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "26b87c95-101f-4f8f-bb73-feb1827ac6b5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    }
   ],
   "source": [
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))\n",
    "if noFrag == 1:\n",
    "    nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "ec102553-e4f3-4010-86bc-725a01b95788",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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un4000RDhzmkBYIAhIiIv9U5JNYYu3ylkrIpVKfjnkylCxupL/FV+WDk7AQCuCTEd36+cneCR/WDYQiIiIq8zbPlOtAvqGXHV5fqkJsZgw/1jr9kHRs99YIiIiH4kalfdoeH+KHwqVchYfV1qYgymJ+i5Ey8REdHVvjO3YsK6fwoZq2JVCkI0/IgTyV/lh6ShkZ6ehh3fXSIi8riE7Hw0WaxCxmLLqG/gQbxERORR8Zl5QsLLAA3DS1/CFRgiIvIIU1MbRq3ZI2SsQ9kzoAvuJ2QsUgYGGCIicrukdYWoMYvZvZWrLn0TAwwREbmVqLOMggAcY3jpsxhgiIjILUS2jMpXTEdEiFrIWKRMDDBERORyt+cU4nw3VzV2BltGBDDAEBGRi4lqGWkAHGd4oX9jgCEiIpdobGlH4qrdQsZiy4iuxgBDRETCpb6wD8frGoWMxZYRdYYBhoiIhBLVMgIYXqhrDDBERCREs8WKEdn5QsZaf/et+M9J8ULGIt/EAENERNctfVMxPj91QchYp9bN8uhVjkkZGGCIiOi6sGVEnsCLORIRUa80W6zCwst9E2MYXsgpXIEhIiKniWwZnVw7E+oA/j1NzmGAISIip7BlRN6AkZeIiGSxtNuEhZd7J+gZXui6cAWGiIh69PS2I9haWi1kLLaMSAQGGCIi6taQrDzYJDFjcdWFRGEEJiKiTlltEuIzxYSXqYZQhhcSiiswRER0jXdKqpG1/YiQsY6tSUWQ2l/IWEQdGGCIiMjBsOU70S6oZ8RVF3IVtpCIiAjAjy0jEeFlWEQAwwu5FFdgiIgI75Wew1PbDgsZq2JVCkI0/Hgh1+L/YUREfdzNK3bB0m4TMhZXXchd2EIiIurD4jPzhISXoeH+DC/kVlyBISLqg4yNFoxdWyBkLLaMyBP4fxwRUR8zevUeNDS3CRmLqy7kKQwwRER9iKhrGUUGAmWrGV7IcxhgiIj6AJEto0PZM6AL7idkLKLeYoAhIvJxbBmRL2KAISLyYaJaRhoAxxleyIswwBAR+SBTUxtGrdkjZKzyFdMREaIWMhaRKAwwREQ+ZkpOIb41tQgZiy0j8lYMMEREPkRUyygQwAmGF/JiDDBERD6gsaUdiat2CxmLLSPqjNUmobTKiPpLLYgK1WCiIQL+Kj+PzYcBhohI4VJf2IfjdY1CxmLLiDqTX1GD1TsqUXNFazJGp8HK2QlITYzxyJx4LSQiIgWLz8xjeCGXyq+oweIt5Q7hBQBqTS1YvKUc+RU1HpkXAwwRkQI1W6zCjndZf/etDC/UKatNwuodlZA6uU/699fqHZWw2jqrcC22kIiIFCZ9UzE+P3VByFin1s3y6HEM5N1Kq4zXrLxcrcbUgtIqI5KGRrppVpcxwBARKYioVReALSPqWa1Z3un4cutEcrqF9O233+L+++9HZGQkgoKCMHLkSHz55Zf2+yVJQnZ2NmJiYhAUFITk5GR89dVXDmMYjUakp6dDq9UiLCwMCxYsQGOjYw/38OHDuOOOO6DRaBAXF4f169f38ikSESmfyJZR7l0JDC8ki7GxVWidSE4FmIsXL2LKlCno168fdu3ahcrKSvz5z39GeHi4vWb9+vV46aWXsHHjRpSUlKB///5ISUlBS8uP6Sw9PR1Hjx5FQUEBPv74Y+zfvx+LFi2y3282mzFjxgwMHjwYZWVleP7557Fq1Sq8/vrrAp4yEZGyzHujGCOy84WMdWrdLMydbBAyFvm+iP7yTqeXWyeSnyRJso+8yczMxOeff45PP/200/slSUJsbCwef/xx/PGPfwQAmEwmREdHY/PmzZg7dy6OHTuGhIQEHDhwAOPHjwcA5OfnY9asWfjmm28QGxuLDRs24Omnn0ZtbS3UarX9sT/88EMcP35c1lzNZjN0Oh1MJhO0Wq3cp0hE5FXYMiJPKjp1Ab/aVNxj3TsLJws7Bkbu57dTKzAfffQRxo8fj3vvvRdRUVEYM2YMNm3aZL+/qqoKtbW1SE5Ott+m0+kwadIkFBUVAQCKiooQFhZmDy8AkJycDJVKhZKSEnvNtGnT7OEFAFJSUnDixAlcvHix07m1trbCbDY7fBERKZWl3SYsvNw7Qc/wQr0y0RCBsOB+3dbE6C5vauduTgWY06dPY8OGDbjpppuwe/duLF68GI888gjeeustAEBtbS0AIDo62uHnoqOj7ffV1tYiKirK4f6AgABEREQ41HQ2xpWPcbWcnBzodDr7V1xcnDNPjYjIazy97QhuXrFLyFgn187E83PGCRmL+p6Cylo0NLV1W7NydoJHzmRz6iwkm82G8ePHY926dQCAMWPGoKKiAhs3bsT8+fNdMkG5srKysGzZMvv3ZrOZIYaIFGdIVh5EbanBVRe6Hh17wHQnLLgfpifo3TQjR06twMTExCAhIcHhthEjRqC6uhoAoNdffhJ1dXUONXV1dfb79Ho96uvrHe5vb2+H0Wh0qOlsjCsf42qBgYHQarUOX0RESmG1SYjPFBNepsSHMLzQdZOzB0xDUxtKq4xumpEjpwLMlClTcOLECYfbTp48icGDBwMADAYD9Ho9CgsL7febzWaUlJQgKSkJAJCUlISGhgaUlZXZa/bu3QubzYZJkybZa/bv34+2th+XrQoKCnDLLbc4nPFEROQL3impxtDlO4WMdWxNKrY+9BMhY1Hf5s17wABOBpjHHnsMxcXFWLduHb7++mu8/fbbeP3115GRkQEA8PPzw9KlS7F27Vp89NFHOHLkCB544AHExsbirrvuAnB5xSY1NRULFy5EaWkpPv/8cyxZsgRz585FbGwsAODXv/411Go1FixYgKNHj+K9997Diy++6NAiIiLyBcOW70TW9iNCxjqTm4Ygtb+QsYi8eQ8YwMljYCZMmIDt27cjKysLa9asgcFgwH//938jPT3dXvPkk0/ihx9+wKJFi9DQ0ICpU6ciPz8fGo3GXrN161YsWbIEd955J1QqFebMmYOXXnrJfr9Op8OePXuQkZGBcePGYcCAAcjOznbYK4aISMmsNknYqsvQcH8UPpUqZCyiDt68Bwzg5D4wSsJ9YIjIW71Xeg5PbTssZKyKVSkI0fCqMCSeJ/aAAeR/fvP/eiIiN7p5xS5Y2m1CxuKBuuRKEw0RiNFpuj2Q11N7wAC9uBYSERH1TnxmnpDwMiRMxfBCLuev8sPPR8V0W/PzUTEeu5o5AwwRkYsZGy3CdtWtWJWCvZkzhYxF1B2rTcJHh2q6rfnoUA2sojYuchJbSERELjR69R40NHe/k6lcXHUhd5KzD0yNqQWlVUahx8DIxQBDROQiolZdIgOBstUML+Re9Zfk7e8it040BhgiIsGMjRaMXVsgZKxD2TOg6+FiekSuEBWq6bnIiTrRGGCIiAQas2YPLvZw8Tu52DIiT+q4EnV3F3MMD+7nsbOQGGCIiAQR1TLyA1DF8EIK4MmN5BhgiIiuk6mpDaPW7BEy1oHlybhBGyhkLKLrUVpl7Hb1BfjxYo48iJeISGGm5BTi2x7O1JCLLSPyJjyIl4jIR4lqGQEML+R9eBAvEZGPaWxpR+Kq3ULGYsuIvNW4weFQ+QHd7VOn8rtc5wkMMERETkh9YR+O1zUKGYurLuTNys5e7Da8AJfDTdnZizwGhojIm7FlRH0Jj4EhIlI4kS2j3LsSMHeyQchYRK7EY2CIiBRMZMvo1LpZHrtyL5GzuJEdEZFCsWVE1D1PbmSn8uBjExF5pWaLVVh4WfeLEQwvpEjObGTnCVyBISK6wrw3ivHp1xeEjMWWESnZtxebnKhz/1lIXIEhIvq3+Mw8YeHlTG4awwsp2u6jtULrRGOAIaI+z9JuE9YyuneCni0j8gnNbVahdaKxhUREfdrT245ga2m1kLFOrp0JdQD/LiTfEB/ZH5/JWJGMj+zvhtlciwGGiPqsIVl5Pe40KhdXXcjXTB8ejS0lPYf76cOj3TCba/FPBSLqc6w2CfGZYsLLsIgAhhfySQ2t3Z+B5GydaFyBIaI+5Z2SamRtPyJkrIpVKQjR8Nco+SbuxEtE5CWGLd+JdkE9I666kK9LiNEKrRONLSQi8nkdLSMR4WVouD/DC/UJf/zgoNA60bgCQ0Q+7b3Sc3hq22EhY7FlRH1JtbFZaJ1o/JdIRD7r5hW7YGm3CRmLqy7U1/QP9BdaJxpbSETkk+Iz84SEl8hAhhfqm0bH6YTWicYVGCLyKcZGC8auLRAy1qHsGdAF9xMyFpHSnKhtFFonGgMMEfmM0av3oKFZzJ4UXHWhvq5F5iUC5NaJxhYSEfmE+Mw8IeElCAwvRAAwMDxIaJ1oXIEhIkUT2TIqXzEdESFqIWMRKd1Hh2pk1Q330D4wDDBEpFhj1uzBxSa2jIhEq21ogdxdky61tLt0Ll1hgCEiRYrPzBMyjh+AKoYXIgc/e3m/7FqVnwsn0g0GGCJSFFNTG0at2SNkrAPLk3GDNlDIWES+xJmVzaQhA1w4k64xwBCRYkzJKcS3phYhY7FlRNQ1lR9gldlDmjw00rWT6QLPQiIiRYjPzGN4IXKTO2+OkFU3+sYQ+Huoh8QAQ0RerbGlXdjxLuvvvpXhhUiGMYYbZNXNvO1GF8+ka2whEZHXSn1hH47Xidnl89S6WR77S5FIaQaEaITWuQIDDBF5JVGrLgBbRkTOutDYKrTOFdhCIiKvIrJldN/EGIYXol6oPG8SWucKXIEhIq8hsmV0cu1MqAP4NxpRbzS1ybuSu9w6V+C/biLyCvGZecLCy5ncNIYXouswIT5caJ0r8F84EXmUpd0mrGV07wQ9W0ZEAsy/3YCeDnn3+3edp7CFREQes3zbYbxdek7IWGwZEYmjDlBh0TQD/rq/qsuaRdMMHv03xwBDRB5hyMyTfbG4nnDVhUi8rFkJAIDX91c5/Fv1w+Xw0nG/p/hJkiTqd4hXMZvN0Ol0MJlM0Go9c6lvIrqW1SZh6PKdQsaaagjFlt9PEzIWEXXO0m7D/xadwVljEwZHBGNeUrxLV17kfn5zBYaI3GZr8Vk8/WGFkLGOrUlFkNpfyFhE1DV1gAoL7hji6WlcgwGGiNxiSFYebILWe9kyIiIe8UZELmW1SYjPFBNehkUEMLwQEQCuwBCRC71TUo2s7UeEjFWxKgUhGv7KIqLL+NuAiFxi2PKdaBfUM+KqCxFdjS0kIhIuPjNPSHgZGu7P8EJEneIKDBEJ8525FRPW/VPIWGwZEXkHq01CaZUR9ZdaEBWqwURDBPxVPe3T63r87UBEQiRk56PJYhUyFlddiLxDfkUNVu+oRI2pxX5bjE6DlbMTkJoY48GZsYVERALEZ+YJCS8DNAwvRN4iv6IGi7eUO4QXAKg1tWDxlnLkV9R4aGaXcQWGiHrN2GjB2LUFQsY6lD0DuuB+QsYioutjtUlYvaOy08t9SLh8OYHVOyoxPUHvsXYSAwwR9cro1XvQ0NwmZCyuuhB5l9Iq4zUrL1eSANSYWlBaZUTS0Ej3TewKDDBE5LT4zDwh4wQBOMbwQuR16i91HV56U+cKDDBEJJupqQ2j1uwRMlb5iumICFELGYuIxIoK1Qitc4XrOog3NzcXfn5+WLp0qf22lpYWZGRkIDIyEiEhIZgzZw7q6uocfq66uhppaWkIDg5GVFQUnnjiCbS3tzvUfPLJJxg7diwCAwMxbNgwbN68+XqmSkTX6facQmHh5UxuGsMLkRebaIhAjE6Dro5u8cPls5EmGiLcOS0HvQ4wBw4cwF//+lfcdtttDrc/9thj2LFjBz744APs27cP58+fxz333GO/32q1Ii0tDRaLBV988QXeeustbN68GdnZ2faaqqoqpKWl4ac//SkOHjyIpUuX4sEHH8Tu3bt7O10iug7xmXk4300/XC4/8HgXIiXwV/lh5eyETg/iBS4fA7NydoJH94PpVYBpbGxEeno6Nm3ahPDwcPvtJpMJf/vb3/CXv/wF//Ef/4Fx48bhzTffxBdffIHi4mIAwJ49e1BZWYktW7Zg9OjRmDlzJp599lm8+uqrsFgsAICNGzfCYDDgz3/+M0aMGIElS5bgl7/8JV544QUBT5mI5GpsaRd2vMuB5cmoYnghIkF6FWAyMjKQlpaG5ORkh9vLysrQ1tbmcPvw4cMxaNAgFBUVAQCKioowcuRIREdH22tSUlJgNptx9OhRe83VY6ekpNjH6ExrayvMZrPDFxH1XuoL+5C4Ssyq55ncNNygDRQyFhG5Xsdp1F3pOI3aKuh6Z73hdIB59913UV5ejpycnGvuq62thVqtRlhYmMPt0dHRqK2ttddcGV467u+4r7sas9mM5ubmTueVk5MDnU5n/4qLi3P2qRHRv8Vn5uF4XaOQsdgyIlIeZ06j9hSnAsy5c+fw6KOPYuvWrdBoPHfkcWeysrJgMpnsX+fOnfP0lIgUp9liFdYyWn/3rQwvRArlc6dRl5WVob6+HmPHjrXfZrVasX//frzyyivYvXs3LBYLGhoaHFZh6urqoNfrAQB6vR6lpaUO43acpXRlzdVnLtXV1UGr1SIoKKjTuQUGBiIwkEvURL2VvqkYn5+6IGSsU+tmecXF3oiodyKC5Z0lKLfOFZxagbnzzjtx5MgRHDx40P41fvx4pKen2/+7X79+KCwstP/MiRMnUF1djaSkJABAUlISjhw5gvr6entNQUEBtFotEhIS7DVXjtFR0zEGEYkVn5knLLycyU1jeCFSuMoaeceRyq1zBadWYEJDQ5GYmOhwW//+/REZGWm/fcGCBVi2bBkiIiKg1Wrxhz/8AUlJSZg8eTIAYMaMGUhISMC8efOwfv161NbWYsWKFcjIyLCvoDz00EN45ZVX8OSTT+J3v/sd9u7di/fffx95eWKWtonosmaLFSOy84WMdd/EGPzpnrE9FxKR1ys7e1FonSsI34n3hRdegEqlwpw5c9Da2oqUlBS89tpr9vv9/f3x8ccfY/HixUhKSkL//v0xf/58rFmzxl5jMBiQl5eHxx57DC+++CIGDhyIN954AykpKaKnS9RniWwZnVw7E+oAXtyeyFcEq/2F1rmCnyRJnjsHyoXMZjN0Oh1MJhO0Wq2np0PkVUQdqAvwLCMiX/Rfu4/hlX+d7rHurd9MwE+GRwl9bLmf3/yTiagPsbTbhIWXeyfoGV6IfJDVJmHT/ipZtQH+nosRvJgjUR+xfNthvF0qZnsBtoyIfNcXX3+PVqu85sz3P7S6eDZdY4Ah6gMMmXldXtPEWVx1IfJt28q/kV2r2KtRE5F3s9okxAsKL1MNoQwvRH2AqaVNVl1ggMqjV6PmCgyRj3qnpBpZ248IGevYmlQEefBsAyJyn7Pf/yCrLiwowKN7PjHAEPmgYct3ol3QRda46kLUt3wn8/IAzZZ2F8+ke2whEfmQjpaRiPAyLCKA4YWoD/L3l7faKrfOVbgCQ+Qj3is9h6e2HRYyVsWqFIRo+OuBqC8afWMo/vVVz1eZHn1jqBtm0zX+hiLyATev2AVLu03IWFx1IerbZt12o6wAM+u2G90wm66xhUSkcPGZeULCy9Bwf4YXIkJseLDQOlfhCgyRQhkbLRi7tkDIWGwZEZGd3EPoPHwhIv7GIlKg0av3oKFZ3l4NPeGqCxFdSe7uup7chRdggCFSHFHXMhqgAb5cxfBCRI7k7q7ryV14AQYYIsUQ2TI6lD0DuuB+QsYiIt8ybnA4VH5Ad7sxqPwu13kSAwyRArBlRETuUnb2YrfhBbgcbsrOXkTS0Ej3TKoTDDBEXk5Uy0gD4DjDCxH1oF7mTrxy61yFAYbIS5ma2jBqzR4hY5WvmI6IELWQsYjIt/EYGCLqtdtzCnHeJOavG7aMiMgZSjkGhhvZEXmZ+Mw8IeElEAwvROQ8Z46B8SSuwBB5icaWdiSu2i1kLLaMiKi3as3y/oCSW+cqDDBEXiD1hX04XtcoZCyuuhDR9TA2ytugTm6dqzDAEHmYqLOMAIYXIrp+Ef3lrd7KrXMVBhgiD2m2WDEiO1/IWOvvvhX/OSleyFhE1LfpdUFC61yFAYbIA9I3FePzUxeEjHVq3Sz4q/yEjEVENNEQgRidBjXdnEwQo9NgoiHCjbO6Fs9CInKz+Mw8YeHlTG4awwsRCeWv8sPK2Qno6jeLH4CVsxM8/ruHAYbITZotVmHHu+TelcDjXYjIZVITY7BomgFXZxSVH7BomgGpiTGemdgV2EIicoN5bxTj06/ZMiIiZcivqMHr+6tw9XYwNgl4fX8VxgwK93iI4QoMkYvFZ+YJCy9sGRGRq1ltElbvqLwmvFxp9Y5KWHva7c7FGGCIXMTSbhPWMrp3gp4tIyJyi9IqY7cH8EoAakwtKK0yum9SnWALicgFnt52BFtLq4WMdXLtTKgD+LcGEbkHr0ZN1EcNycrr8ToicnHVhYjcLSJY5kZ2MutchX/WEQlitUmIzxQTXqbEhzC8EJFHHK81C61zFa7AEAnwTkk1srYfETLWsTWpCFL7CxmLiMhZ5y42C61zFQYYous0bPlOtAvqGXHVhYg8bXBEsNA6V2ELiaiXOlpGIsLL0HB/hhci8grzkuKv2cDuaiq/y3WexBUYol54r/Qcntp2WMhYFatSEKLhP0Ui8g7qABXuHBGFgsr6LmvuHBHl8bMj+VuTyEk3r9gFS7tNyFhcdSEib2O1SThw5mK3NV+euQirTfLoxppsIRE5IT4zT0h4GRKmYnghIq9UfPoCGprauq252NSG4tNidhjvLa7AEMlgbLRg7NoCIWOxZURE3qzolLxgUnTqAqYMG+Di2XSNv0WJejB69R40NHf/14hcXHUhIm/3xdffyaz07LWQGGCIuiHqWkaRgUDZaoYXIvJulnYbys+ZZNUmDfHc6gvAAEPUKZEto0PZM6AL7idkLCIiV/rfojOy6oL6qTB5aKRrJ9MDBhiiq4xZswcXeziATS62jIhISc4am2TVTTREevQMJIABhsiBqJaRBsBxhhciUhi5u+tOu8mz7SOAp1ETAQBMTW3Cwkv5iukML0SkSErZhRfgCgwRpuQU4ltTi5Cx2DIiIiVTB6iw8A4D/rq/qsuahXcYPL4LL8AAQ32cqFUXgOGFiHzDmEHhALoOMJfv9zwGGOqTGlvakbhqt5CxDixPxg3aQCFjERF5ktUmYfWOyi7v9wOwekclpifoeRAvkbulvrAPx+sahYzFVRci8iWlVUbUdNNSlwDUmFpQWmVEEk+jJnIftoyIiLpWf0ne8YBy61yJAYb6BJEto9y7EjB3skHIWERE3iQqVCO0zpUYYMjniWwZnVo3y+N9XyIiV5loiECMToNaU0unVzryA6DXaTDREOHuqV3D8+dBEblQfGae0ONdGF6IyJf5q/ywcnZCl5dplACsnJ3gFb8LuQJDPqnZYsWI7HwhY637xQj8OmmIkLGIiEgMBhjyOfPeKManX18QMhZbRkTUl/R0GjXA06iJXIJnGRER9V5Pp1ED3nMaNY+BIZ9gabcJCy/3TtAzvBBRn1Rrlnd6tNw6V+IKDCne09uOYGtptZCxTq6d6RXX+CAi8gRjY6vQOldigCFFG5KVB1tXh8s7iasuRNTXhQWrhda5Ev/UJEWy2iTEZ4oJL1PiQxheiIgAGH+wCK1zJa7AkOK8U1KNrO1HhIx1bE0qgtT+QsYiIlI6Y5PMFpLMOldigCFFGbZ8J9oF9Yy46kJE5KimQd7BuXLrXMmpFlJOTg4mTJiA0NBQREVF4a677sKJEyccalpaWpCRkYHIyEiEhIRgzpw5qKurc6iprq5GWloagoODERUVhSeeeALt7e0ONZ988gnGjh2LwMBADBs2DJs3b+7dMySf0NEyEhFeBmgYXoiIOhMbJu8aR3LrXMmpALNv3z5kZGSguLgYBQUFaGtrw4wZM/DDDz/Yax577DHs2LEDH3zwAfbt24fz58/jnnvusd9vtVqRlpYGi8WCL774Am+99RY2b96M7Oxse01VVRXS0tLw05/+FAcPHsTSpUvx4IMPYvduMRfjI2V5r/Qchi7fKWSsQ9kz8OUqhhcios4kDRkgtM6V/CRJ6vWftN999x2ioqKwb98+TJs2DSaTCTfccAPefvtt/PKXvwQAHD9+HCNGjEBRUREmT56MXbt24Wc/+xnOnz+P6OhoAMDGjRvx1FNP4bvvvoNarcZTTz2FvLw8VFRU2B9r7ty5aGhoQH6+vO3hzWYzdDodTCYTtFptb58iedjNK3bB0m4TMhZXXYiIuvf5V98j/W8lPdZtXTAJU25yTYiR+/l9XWchmUwmAEBExOWrUpaVlaGtrQ3Jycn2muHDh2PQoEEoKioCABQVFWHkyJH28AIAKSkpMJvNOHr0qL3myjE6ajrG6ExrayvMZrPDFylbfGaekPASGcjwQkQkR73M/V3k1rlSrw/itdlsWLp0KaZMmYLExEQAQG1tLdRqNcLCwhxqo6OjUVtba6+5Mrx03N9xX3c1ZrMZzc3NCAoKumY+OTk5WL16dW+fDnkRY6MFY9cWCBnrUPYM6IL7CRmLiMjX9YmN7DIyMlBRUYHPPvtM5Hx6LSsrC8uWLbN/bzabERcX58EZUW+MXr0HDc1tQsbiqgsRkXMi+svboE5unSv1KsAsWbIEH3/8Mfbv34+BAwfab9fr9bBYLGhoaHBYhamrq4Ner7fXlJaWOozXcZbSlTVXn7lUV1cHrVbb6eoLAAQGBiIwMLA3T4e8hKhrGQUBOMbwQkTkNL2u88/Y3ta5klPHwEiShCVLlmD79u3Yu3cvDAaDw/3jxo1Dv379UFhYaL/txIkTqK6uRlJSEgAgKSkJR44cQX19vb2moKAAWq0WCQkJ9porx+io6RiDfIux0SIsvJSvmM7wQkTUSxMNEYjRdX+KdIxOg4mGCDfNqGtOnYX08MMP4+2338Y//vEP3HLLLfbbdTqdfWVk8eLF2LlzJzZv3gytVos//OEPAIAvvvgCwOXTqEePHo3Y2FisX78etbW1mDdvHh588EGsW7cOwOXTqBMTE5GRkYHf/e532Lt3Lx555BHk5eUhJSVF1lx5FpIyjFmzBxeb2DIiIvIW+RU1WLylHJ2FAz8AG+4fi9TEGJc9vtzPb6cCjJ+fX6e3v/nmm/jNb34D4PJGdo8//jjeeecdtLa2IiUlBa+99pq9PQQAZ8+exeLFi/HJJ5+gf//+mD9/PnJzcxEQ8GNH65NPPsFjjz2GyspKDBw4EM8884z9MeRggPF+olZd/ABUMbwQEQmTs7MSmz6tcrjenMoPWHiHAVmzElz62C4JMErCAOO9TE1tGLVmj5CxDixPxg1aHvtERCSKUlZgeC0kcqspOYX41iTmGhpsGRERiWW1SVi9o7LT8NJh9Y5KTE/Qw1/VeVfGXa5rIzsiZ8Rn5jG8EBF5sdIqI2q6+T0tAagxtaC0yui+SXWBKzDkco0t7UhcJeY6VmwZERG5Tv0leX9kyq1zJQYYcqnUF/bheF2jkLG46kJE5FpRofKuMi23zpUYYMhlRJ1lBDC8EBG5Q8c+MLWmli4P4tV7yT4wPAaGhGtsaRcWXu6bGMPwQkTkJv4qP6ycffk06asP0e34fuXsBI8fwAtwBYYEE9kyOrl2JtQBzNhERO6UmhiD5IQoFFTWO9wuAZieEOXSU6idwU8HEiY+M0/o8S4ML0RE7pezs/Ka8NKhoLIeOTsr3TyjzvETgq5bs8UqrGV07wQ9W0ZERB5iabdh06dV3dZs+rQKlnabm2bUNbaQ6LrMe6MYn359QchYbBkREXnW/xadcbh8QGds0uW6BXcMcc+kusAAQ73Gs4yIiHzLWWOT0DpX4p+75DSrTRIWXqYaQhleiIi8xOCIYKF1rsQAQ07ZWnwWQ5fvFDLWsTWp2PL7aULGIiKi6zcvKR49nSGt8rtc52lsIZFsQ7LyeuyNysVVFyIi76MOUGHhHQb8dX/XB/IuvMPgFccren4GpAjxmWLCy7CIAIYXIiIvljUrAb+fZrhmJUblB/x+mgFZsxI8M7Gr+EmSJOhvau9iNpuh0+lgMpmg1Wo9PR3Fqm1oweTcQiFjVaxKQYiGi35ERErQbLFi3c5KnLnQhPjIYCyflYAgtb/LH1fu5zc/TahLN6/YJexcf666EBEpR35FDVbvqESN6fJVpz/9CvjnsXqsnJ3AnXjJu8Vn5gkJL0PD/RleiIgUJL+iBou3lNvDS4daUwsWbylHfkWNh2bmiCsw5OA7cysmrPunkLHYMiIiUharTcLqHZWdXolawuULOq7eUYnpCXqPX9CRny5kl5CdjyaLVchYXHUhIlKe0irjNSsvV5IA1JhaUFplRNLQSPdNrBNsIRGAyy0jEeFlgIbhhYhIqeovdR1eelPnSlyB6eOMjRaMXVsgZKxD2TOgC+4nZCwiInK/qFCN0DpXYoDpw0av3oOG5jYhY3HVhYhI+SYaIhCj06DW1NLpcTB+APQ6DSYaItw9tWuwhdRHxWfmCQkvQWB4ISLyFf4qP6ycfXmjuqsP0e34fuXsBI8fwAswwPQ5xkaLsAsxlq+YjmMML0REPiU1MQYb7h8Lvc6xTaTXabDh/rFesw8MW0h9yJg1e3CxiS0jIiLqXmpiDKYn6FFaZUT9pRZEhV5uG3nDyksHBpg+QtSqix+AKoYXIiKf56/y8/ip0t1hgPFxjS3tSFy1W8hYB5Yn4wZtoJCxiIiIrgcDjA9LfWEfjtc1ChmLLSMiIvImDDA+SlTLCGB4ISIi78MA42OaLVaMyM4XMtb6u2/Ff06KFzIWERGRSAwwPiR9UzE+P3VByFin1s3yqqPNiYiIrsQA4yPYMiIiIpGsNomnUZPriGwZ3TcxBn+6Z6yQsYiISLnyK2qwekelw5WpY3QarJydwI3s6PqJbBmdXDsT6gBuzExE1NflV9Rg8Zbya66FVGtqweIt5V6zGy8/sRQqPjNPWHg5k5vG8EJERLDaJKzeUdnphRylf3+t3lEJq62zCvfip5bCWNptwo53uXeCnse7EBGRXWmV0aFt1JkaUwtKq4xumlHX2EJSkOXbDuPt0nNCxmLLiIiIrlZr7j68OFvnSgwwCmHIzOt0Sa83uOpCRESdMTa2Cq1zJf4J7uWsNgnxgsLLVEMowwsREXVJF9RPaJ0rcQXGi20tPounP6wQMtaxNakIUvsLGYuIiHzToW8aZNf9cnycayfTAwYYLzUkKw+iDvLmqgsREckh92PH8+cgsYXkdTpaRiLCy7CIAIYXIiKSbXBEf6F1rsQVGC/yXuk5PLXtsJCxKlalIETDt5eIiOS7OSpEaJ0r8RPOS9y8Yhcs7TYhY3HVhYiIeqP0rLz9XUrPGvGT4VEunk332ELyAvGZeULCy9Bwf4YXIiLqtW8vNgutcyWuwHiQsdGCsWsLhIzFlhEREV2v2DCN0DpX4ieeh4xevQcNzW1CxuKqCxERiTBl6A147ZPTsuo8jS0kD4jPzBMSXgZoGF6IiEicyUMjERbc/SZ1YcH9MHlopJtm1DUGGDcyNbUJuxDjoewZ+HIVwwsREYnjr/JD7j0ju63JvWck/FV+bppR19hCcpOkdYWoEXTxK666EBGRK4UF90NDk2OnICwoALlzbkNqYoyHZuWIAcYNRK26BAE4xvBCREQukl9Rg8Vbyjvdabehud3t8+kOA4wLmZraMGrNHiFjla+YjogQtZCxiIiIrma1SVi9o7LLywT4AVi9oxLTE/RsIfmy23MKcd7ElhERESlDaZURNd18bkkAakwtKK0yIskLDuJlgHEBUS2jQAAnGF6IiMgN6i/J+6Nbbp2rMcAI1NjSjsRVu4WMxZYRERG5U1SovM3p5Na5GgOMIKkv7MPxukYhY7FlRERE7jbRENHp2UdXCg/uh4mGCDfOqmsMMAKIahkBDC9EROS9ujrA1xO4kd11aLZYhYWX9XffyvBCREQeU1pl7Hb1BQAamtpQWiXvitWuxhWYXkrfVIzPT10QMtapdbO84pQ0IiLqu3gQbx/AlhEREfkapR3EyxaSE0S2jO6bGMPwQkREXmOiIQIxuu7DSYxO4zUH8Xp1gHn11VcRHx8PjUaDSZMmobS01GNzWfg/BzAiO1/IWCfXzsSf7hkrZCwiIiIR/FV++Pmo7q9z9PNRMV5zyIPXBpj33nsPy5Ytw8qVK1FeXo5Ro0YhJSUF9fX1bp/Lwv85gIJKMY97JjcN6gCvfdmJiKiPstokvPflN93WvP/lN7DavONcJK/9JP3LX/6ChQsX4re//S0SEhKwceNGBAcH4+9//7tb59FssQoJL/dO0LNlREREXqv49IUez0K62NSG4tNiTmC5Xl55EK/FYkFZWRmysrLst6lUKiQnJ6OoqKjTn2ltbUVra6v9e7PZLGQu63ZWXvcYJ9fO5KoLERF5tSKZZ9YWnbqAKcMGuHg2PfPKT9Xvv/8eVqsV0dHRDrdHR0ejtra205/JycmBTqezf8XFxQmZy5kLTdf382wZERGRIshtDbGFJFRWVhZMJpP969y5c0LGjY8M7tXPTTWEsmVERESKkTRE3qqK3DpX88oW0oABA+Dv74+6ujqH2+vq6qDX6zv9mcDAQAQGBgqfy/JZCfjf4mqnfubYmlQEqf2Fz4WIiMhVJg+N7PFaSGHB/TB5aKQbZ9U1r1yBUavVGDduHAoLC+232Ww2FBYWIikpya1zCVL7Y3pClOz6M7lpDC9ERKQ4/io/5N4zstua3HtG8jTqnixbtgybNm3CW2+9hWPHjmHx4sX44Ycf8Nvf/tbtc9n0wIQeQ8zQcH+2jIiISNFSE2Ow8f6x0GsdOxp6bSA23j8WqYnd7xPjTl7ZQgKA++67D9999x2ys7NRW1uL0aNHIz8//5oDe91l0wMT0Gyx4pH/2Y+Cr388sHdsXBj+Z8EkhGi89qUkIiKSLTUxBtMT9CitMqL+UguiQi/vvustKy8d/CRJ8o7DiQUzm83Q6XQwmUzQarWeng4RERHJIPfz22tbSERERERdYYAhIiIixWGAISIiIsVhgCEiIiLFYYAhIiIixWGAISIiIsVhgCEiIiLFYYAhIiIixWGAISIiIsXx2f3vOzYYNpvNHp4JERERydXxud3ThQJ8NsBcunQJABAXF+fhmRAREZGzLl26BJ1O1+X9PnstJJvNhvPnzyM0NBR+fuIuQGU2mxEXF4dz587xGksewvfA8/geeB7fA8/i6+86kiTh0qVLiI2NhUrV9ZEuPrsCo1KpMHDgQJeNr9Vq+T+th/E98Dy+B57H98Cz+Pq7RncrLx14EC8REREpDgMMERERKQ4DjJMCAwOxcuVKBAYGenoqfRbfA8/je+B5fA88i6+/5/nsQbxERETku7gCQ0RERIrDAENERESKwwBDREREisMAQ0RERIrDAOOkV199FfHx8dBoNJg0aRJKS0s9PSVFysnJwYQJExAaGoqoqCjcddddOHHihENNS0sLMjIyEBkZiZCQEMyZMwd1dXUONdXV1UhLS0NwcDCioqLwxBNPoL293aHmk08+wdixYxEYGIhhw4Zh8+bNrn56ipObmws/Pz8sXbrUfhtff9f79ttvcf/99yMyMhJBQUEYOXIkvvzyS/v9kiQhOzsbMTExCAoKQnJyMr766iuHMYxGI9LT06HVahEWFoYFCxagsbHRoebw4cO44447oNFoEBcXh/Xr17vl+Xk7q9WKZ555BgaDAUFBQRg6dCieffZZh2vw8D3wYhLJ9u6770pqtVr6+9//Lh09elRauHChFBYWJtXV1Xl6aoqTkpIivfnmm1JFRYV08OBBadasWdKgQYOkxsZGe81DDz0kxcXFSYWFhdKXX34pTZ48Wbr99tvt97e3t0uJiYlScnKy9H//93/Szp07pQEDBkhZWVn2mtOnT0vBwcHSsmXLpMrKSunll1+W/P39pfz8fLc+X29WWloqxcfHS7fddpv06KOP2m/n6+9aRqNRGjx4sPSb3/xGKikpkU6fPi3t3r1b+vrrr+01ubm5kk6nkz788EPp0KFD0s9//nPJYDBIzc3N9prU1FRp1KhRUnFxsfTpp59Kw4YNk371q1/Z7zeZTFJ0dLSUnp4uVVRUSO+8844UFBQk/fWvf3Xr8/VGzz33nBQZGSl9/PHHUlVVlfTBBx9IISEh0osvvmiv4XvgvRhgnDBx4kQpIyPD/r3VapViY2OlnJwcD87KN9TX10sApH379kmSJEkNDQ1Sv379pA8++MBec+zYMQmAVFRUJEmSJO3cuVNSqVRSbW2tvWbDhg2SVquVWltbJUmSpCeffFK69dZbHR7rvvvuk1JSUlz9lBTh0qVL0k033SQVFBRIP/nJT+wBhq+/6z311FPS1KlTu7zfZrNJer1eev755+23NTQ0SIGBgdI777wjSZIkVVZWSgCkAwcO2Gt27dol+fn5Sd9++60kSZL02muvSeHh4fb3pOOxb7nlFtFPSXHS0tKk3/3udw633XPPPVJ6erokSXwPvB1bSDJZLBaUlZUhOTnZfptKpUJycjKKioo8ODPfYDKZAAAREREAgLKyMrS1tTm83sOHD8egQYPsr3dRURFGjhyJ6Ohoe01KSgrMZjOOHj1qr7lyjI4avmeXZWRkIC0t7ZrXiK+/63300UcYP3487r33XkRFRWHMmDHYtGmT/f6qqirU1tY6vH46nQ6TJk1yeA/CwsIwfvx4e01ycjJUKhVKSkrsNdOmTYNarbbXpKSk4MSJE7h48aKrn6ZXu/3221FYWIiTJ08CAA4dOoTPPvsMM2fOBMD3wNv57MUcRfv+++9htVodflkDQHR0NI4fP+6hWfkGm82GpUuXYsqUKUhMTAQA1NbWQq1WIywszKE2OjoatbW19prO3o+O+7qrMZvNaG5uRlBQkCuekiK8++67KC8vx4EDB665j6+/650+fRobNmzAsmXLsHz5chw4cACPPPII1Go15s+fb38NO3v9rnx9o6KiHO4PCAhARESEQ43BYLhmjI77wsPDXfL8lCAzMxNmsxnDhw+Hv78/rFYrnnvuOaSnpwMA3wMvxwBDHpeRkYGKigp89tlnnp5Kn3Hu3Dk8+uijKCgogEaj8fR0+iSbzYbx48dj3bp1AIAxY8agoqICGzduxPz58z08u77h/fffx9atW/H222/j1ltvxcGDB7F06VLExsbyPVAAtpBkGjBgAPz9/a85C6Ourg56vd5Ds1K+JUuW4OOPP8a//vUvDBw40H67Xq+HxWJBQ0ODQ/2Vr7der+/0/ei4r7sarVbbp//6LysrQ319PcaOHYuAgAAEBARg3759eOmllxAQEIDo6Gi+/i4WExODhIQEh9tGjBiB6upqAD++ht39ztHr9aivr3e4v729HUaj0an3qa964oknkJmZiblz52LkyJGYN28eHnvsMeTk5ADge+DtGGBkUqvVGDduHAoLC+232Ww2FBYWIikpyYMzUyZJkrBkyRJs374de/fuvWZ5ddy4cejXr5/D633ixAlUV1fbX++kpCQcOXLE4ZdHQUEBtFqt/YMhKSnJYYyOmr7+nt155504cuQIDh48aP8aP3480tPT7f/N19+1pkyZcs3WASdPnsTgwYMBAAaDAXq93uH1M5vNKCkpcXgPGhoaUFZWZq/Zu3cvbDYbJk2aZK/Zv38/2tra7DUFBQW45ZZb+nzroqmpCSqV48egv78/bDYbAL4HXs/TRxErybvvvisFBgZKmzdvliorK6VFixZJYWFhDmdhkDyLFy+WdDqd9Mknn0g1NTX2r6amJnvNQw89JA0aNEjau3ev9OWXX0pJSUlSUlKS/f6O03hnzJghHTx4UMrPz5duuOGGTk/jfeKJJ6Rjx45Jr776Kk/j7cKVZyFJEl9/VystLZUCAgKk5557Tvrqq6+krVu3SsHBwdKWLVvsNbm5uVJYWJj0j3/8Qzp8+LD0i1/8otNTeMeMGSOVlJRIn332mXTTTTc5nMLb0NAgRUdHS/PmzZMqKiqkd999VwoODuYpvJIkzZ8/X7rxxhvtp1Fv27ZNGjBggPTkk0/aa/geeC8GGCe9/PLL0qBBgyS1Wi1NnDhRKi4u9vSUFAlAp19vvvmmvaa5uVl6+OGHpfDwcCk4OFi6++67pZqaGodxzpw5I82cOVMKCgqSBgwYID3++ONSW1ubQ82//vUvafTo0ZJarZaGDBni8Bj0o6sDDF9/19uxY4eUmJgoBQYGSsOHD5def/11h/ttNpv0zDPPSNHR0VJgYKB05513SidOnHCouXDhgvSrX/1KCgkJkbRarfTb3/5WunTpkkPNoUOHpKlTp0qBgYHSjTfeKOXm5rr8uSmB2WyWHn30UWnQoEGSRqORhgwZIj399NMOpzvzPfBefpJ0xZaDRERERArAY2CIiIhIcRhgiIiISHEYYIiIiEhxGGCIiIhIcRhgiIiISHEYYIiIiEhxGGCIiIhIcRhgiIiISHEYYIiIiEhxGGCIiIhIcRhgiIiISHEYYIiIiEhx/j/DskPWW8x+ogAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter([v for v in range(len(parentVTDno))],parentVTDno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "55d64c64-b473-49d0-b863-d4123cbb9b6c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for v in range(nVTDs):\n",
    "    if MAP.contains(vtdGeom[v].centroid) and v not in parentVTDno:\n",
    "        print(\"Uhoh,\",v,\"is in the map but not in the parent vtd list\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "ecd50c96-51ce-4d83-b0df-e8c645c35815",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "working on full or partial VTD master list for unit 4000\n",
      "working on full or partial VTD master list for unit 6000\n",
      "working on full or partial VTD master list for unit 8000\n",
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "5075814f-4a75-4807-ad8d-b3cc969cb470",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9178 9178 9178 9178 9178 9178\n"
     ]
    }
   ],
   "source": [
    "\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDvPop = HDvPop[0:nHDs]\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDfullVTDlist = HDfullVTDlist[0:nHDs]\n",
    "HDpartialVTDlist = HDpartialVTDlist[0:nHDs]\n",
    "HDvtdFrac = HDvtdFrac[0:nHDs]\n",
    "hdCPx, hdCPy = hdCPx[0:nHDs], hdCPy[0:nHDs]\n",
    "print(nHDs,len(tList), len(HDweight), len(HDvPop), len(HDvtdFrac), len(hdCPx) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "e385f357-5b7e-46f5-b054-c5c38d799395",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0 9178\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight), nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "id": "8d922813-2854-41d7-9405-22db5d5d5a59",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now append the cut districts and adjust the HDweights\n",
      "13 1 are the number of HD-drawn and cut districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Now append the cut districts and adjust the HDweights\")  #ONLY RUN FOR STATES W/ CUTOUT DISTRICTS\n",
    "print(nDistricts,nCutDistricts,\"are the number of HD-drawn and cut districts\")\n",
    "HDweight = [nDistricts/float(nCutDistricts + nDistricts) * HDweight[t] for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "if type(hdCPx) != type(list()):\n",
    "    hdCPx, hdCPy = hdCPx.to_list(), hdCPy.to_list()\n",
    "for L in allCutLists:\n",
    "    tList.append(len(tList))\n",
    "    HDweight.append(1./(nCutDistricts + nDistricts))\n",
    "    pop = np.sum([tractPop[v] for v in L])\n",
    "    HDvPop.append(pop )\n",
    "    HDfullVTDlist.append(L)\n",
    "    HDpartialVTDlist.append(list() )\n",
    "    HDvtdFrac.append(list() )\n",
    "    hdCPx.append(np.sum([tractPop[v]*tractCPx[v] for v in L]) / pop )\n",
    "    hdCPy.append(np.sum([tractPop[v]*tractCPy[v] for v in L]) / pop )\n",
    "    \n",
    "\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedWithCutsVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "b0b611f7-6c35-495d-b38c-c848317d63ab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "b9d808de-119f-4197-8e0c-8407c105d789",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is a map of VTD's that were used less than 0.2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "\n",
    "plt.scatter([v for v in range(nVTDs)], vtdUSE)\n",
    "plt.show()\n",
    "unused = list()\n",
    "print(\"Here is a map of VTD's that were used less than 0.2\")\n",
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] < 0.2 and MAP.contains(vtdGeom[v].centroid) and tractPop[v] > 0:\n",
    "        unused.append(v)\n",
    "        #print(v,\"in county\",countyNo[v],\"has pop\",tractPop[v],\"and map-total usage of\",vtdUSE[v],\"its surroundedness is\",v in surroundedVTDs)\n",
    "        plotPoly(vtdGeom[v].centroid.buffer(0.1))\n",
    "        plotCenter(v,vtdGeom[v],8)\n",
    "    #if vtdUSE[v] > 0.2 and vtdUSE[v] < 0.95:\n",
    "    #    plotCenter(r3(vtdUSE[v]),vtdGeom[v])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "3d2a393c-5ab8-4140-80eb-1153c2ef41f9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is a map of VTD's used <0.9 or >1.1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here is a map of VTD's used <0.9 or >1.1\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u]  < 0.9:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "    if  unitUse[u]  > 1.1:\n",
    "        plotPoly(unitGeom[u],1.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "404935e6-f0de-4b51-9db9-020aa208f852",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops\n",
      "x = n surrounded, y= unit - vtd-based\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "        if u in surroundedVTDs:\n",
    "            nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += origVTDpop[v] #tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * origVTDpop[v] #tractPop[v] also works\n",
    "        \n",
    "plt.scatter([nSurrs[t] for t in popHDlist], [HDvPop[t] - HDvtdbasedPop[t] for t in popHDlist] )\n",
    "print(\"x = n surrounded, y= unit - vtd-based\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef27af54-daf5-4e8f-9230-bce5b0b1e705",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "3ad3342b-b8e3-46f5-a3e5-f49df386b88f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\n",
      "Let's read in the 2020 and 2016 voting data for PA\n",
      "In year/election 2020 Dem and GOP total votes were 3457443 3376900 for a stateGOP of 0.49411\n",
      "There are a total of 9178  vote-mapped voting districts from election(s) in year  2020\n",
      "In year/election 2016 Dem and GOP total votes were 2926136 2970913 for a stateGOP of 0.5038\n",
      "There are a total of 9178  vote-mapped voting districts from election(s) in year  2016\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\")\n",
    "#note: we started w possibility of separate election --> 2020 vtd files by year.  Now we use ALARM combined 2016+2020 --> 2020 csv's for all exc CA\n",
    "# copied from \"HDpartisanAnalysis\"\n",
    "print(\"Let's read in the 2020 and 2016 voting data for\",STATE)\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G16PREDCLI\"], [\"G16PRERTRU\" ], list()\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G20PREDBID\", \"G16PREDCli\"], [\"G20PRERTRU\" ,\"G16PRERTru\" ], list()\n",
    "DemCandidates, RepCandidates, vestDFs = [\"pre_20_dem_bid\", \"pre_16_dem_cli\"], [\"pre_20_rep_tru\" ,\"pre_16_rep_tru\" ], list()\n",
    "nYears = 2\n",
    "unitIDs, vestReps,vestDems,yearLean = [list()]*nYears, [0]*nYears, [0]*nYears, [0.5]*nYears\n",
    "years = [str(2020),str(2016)]\n",
    "DemVotes, RepVotes = [list() for y in years], [list() for y in years]\n",
    "vestDir = \"./state_map_files/\" + STATE.lower()\n",
    "vestDF = pd.read_csv(vestDir + \"_2020_vtd.csv\")\n",
    "mergedDF = vestDF.copy() #pd.merge(mergedDF,vestDF, on = \"GEOID20\")\n",
    "for y,year in enumerate(years):\n",
    "    DemVotes[y], RepVotes[y], unitIDs[y] = mergedDF[DemCandidates[y]], mergedDF[RepCandidates[y]], vestDF[(\"GEOID20\")]\n",
    "    vestDems[y], vestReps[y] = np.sum(DemVotes[y]), np.sum(RepVotes[y])\n",
    "    yearLean[y] = vestReps[y]/float(vestDems[y]+vestReps[y])\n",
    "    print(\"In year/election\",year,\"Dem and GOP total votes were\",int(vestDems[y]),int(vestReps[y]),\"for a stateGOP of\",r5(yearLean[y]) )\n",
    "    nVTDs = len(DemVotes[y])\n",
    "    print(\"There are a total of\",nVTDs,\" vote-mapped voting districts from election(s) in year \",years[y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f628069d-4177-401e-bf49-b7f194d0ef8b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "5cf73783-4a48-4a3f-a2e3-c1b9ff32c859",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now let's read in our ensemble of HD districts for PA\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv PA9178patchedVTDs.csv\n",
      "enter the number of HD-drawn districts in the state; e.g. 8 17\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ensemble or enacted map describes 9178 drawn districts.  This state has 17 districts per map\n",
      "converting vtd list strings to vtd lists by drawn district ...\n",
      "the total weight across all rows should be 1.000, actually is 1.0\n",
      "I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\n",
      "translating from HD order of precinct rows to VEST order\n"
     ]
    }
   ],
   "source": [
    "print(\"Now let's read in our ensemble of HD districts for\",STATE)\n",
    "infilename = input(\"enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv\")\n",
    "\n",
    "HDdf = pd.read_csv(\"2024state_HD_output/\"+infilename)\n",
    "nRows = len(HDdf)\n",
    "nStateDistricts = int(input(\"enter the number of HD-drawn districts in the state; e.g. 8\"))\n",
    "print(\"This ensemble or enacted map describes\",nRows,\"drawn districts.  This state has\",nStateDistricts,\"districts per map\")\n",
    "\n",
    "HDvPop = HDdf[\"HDvPop\"].to_list()\n",
    "HDweight = HDdf['HDweight'].to_list()\n",
    "#tractPop = HDdf['tractPop'].to_list()\n",
    "#statePop = np.sum(tractPop)\n",
    "tractCPx = HDdf['centroid x'].to_list()\n",
    "tractCPy = HDdf['centroid y'].to_list()\n",
    "HDvtdListString = HDdf[\"HDvtdList\"]\n",
    "print(\"converting vtd list strings to vtd lists by drawn district ...\")\n",
    "HDvtdList = [list() for t in range(nRows) ]\n",
    "for t in range(nRows):\n",
    "    if HDvtdListString[t] != \"[]\":\n",
    "        HDvtdList[t] = ast.literal_eval(HDvtdListString[t])\n",
    "\n",
    "if \"partials\" in HDdf.columns.values: #\"splitTractNo\" #.to_list():\n",
    "    splitTractList, splitTractUseList = HDdf['partials'], HDdf['HDvtdFrac']\n",
    "    splitTractNo = [ast.literal_eval(splitTractList[t])    for t in range(nRows)]\n",
    "    splitTractUse = [ast.literal_eval(splitTractUseList[t]) for t in range(nRows)]\n",
    "else :  #incoming file didn't use any partial units, only whole ones\n",
    "    splitTractNo, splitTractUse = [[] for t in range(nRows)] , [ [] for t in range(nRows)]\n",
    "\n",
    "print(\"the total weight across all rows should be 1.000, actually is\",r5(np.sum(HDweight)) )\n",
    "print(\"I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\")\n",
    "censusGEOID20 = [ str( tractPopFile['GEOID20'][i]) for i in range(len(tractPopFile['GEOID20'])) ] #force strings to match\n",
    "miniHDdf = pd.DataFrame( {\"GEOID20\":censusGEOID20} )\n",
    "vestNo = [v for v in range(nVTDs)]\n",
    "print(\"translating from HD order of precinct rows to VEST order\")\n",
    "mergedGEO = [str(mergedDF['GEOID20'][i]) for i in range(len(mergedDF['GEOID20'])) ]  #force strings to match\n",
    "miniVestDF = pd.DataFrame( {\"GEOID20\":mergedGEO, \"vestNo\":vestNo} )\n",
    "mappingDF = pd.merge(miniHDdf,miniVestDF,on=\"GEOID20\")\n",
    "vestID = mappingDF['vestNo']  #this maps each named unit in a HDVL to the correct vestNo row with voting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "540c6d1d-7728-48bf-90f0-f124b25ac7c2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sanity check - Dem-leaning vtds for year 2020\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"sanity check - Dem-leaning vtds for year\",years[0])  #for MA, do GOP-leaning.  Other states, use Dem-leaning\n",
    "for v in range(nVTDs):\n",
    "    plotPoly(vtdGeom[v],0.2)\n",
    "    if DemVotes[0][vestID[v]] > RepVotes[0][vestID[v]]:\n",
    "        plt.text(vtdGeom[v].centroid.x, vtdGeom[v].centroid.y, \"D\", color = \"blue\",fontsize=6)\n",
    "        #plotCenter(\"d\",vtdGeom[v],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "56ed7e9d-1400-4848-892e-737555552d58",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\n",
      "working on drawn district no 0\n",
      "working on drawn district no 1000\n",
      "working on drawn district no 2000\n",
      "working on drawn district no 3000\n",
      "working on drawn district no 4000\n",
      "working on drawn district no 5000\n",
      "working on drawn district no 6000\n",
      "working on drawn district no 7000\n",
      "working on drawn district no 8000\n",
      "working on drawn district no 9000\n",
      "here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\n",
      "true 2020: 3457443 3376900 -80543\n",
      "ensemble : 3455216 3389965 -65250\n",
      "the true and ensemble state GOP leans are 0.49411 0.4952338113720245\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\")\n",
    "nDrawnDistricts = len(HDweight)  #now including cut districts\n",
    "nMapDistricts = nCutDistricts + nDistricts\n",
    "nEnsembleDems, nEnsembleReps = [0.]*nYears, [0.]*nYears\n",
    "y=0\n",
    "for t in range(nDrawnDistricts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on drawn district no\",t)\n",
    "    nEnsembleDems[y] += nMapDistricts* HDweight[t] * ( np.sum([DemVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([DemVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "    nEnsembleReps[y] += nMapDistricts* HDweight[t] * ( np.sum([RepVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([RepVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "\n",
    "print(\"here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\")\n",
    "print(\"true 2020:\",int(vestDems[y]),int(vestReps[y]),              int(vestReps[y] - vestDems[y]) )\n",
    "print(\"ensemble :\",int(nEnsembleDems[y]),int(nEnsembleReps[y]),    int(nEnsembleReps[y] - nEnsembleDems[y]) )\n",
    "print(\"the true and ensemble state GOP leans are\",r5(vestReps[y]/(vestReps[y]+vestDems[y])),\n",
    "      nEnsembleReps[y]/(nEnsembleReps[y]+nEnsembleDems[y]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "5c607c63-df0d-4334-8131-368c090c76d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total drawn districts, HD-drawn, map districts 9178 9178 17\n"
     ]
    }
   ],
   "source": [
    "print(\"total drawn districts, HD-drawn, map districts\",nDrawnDistricts,nHDs, nMapDistricts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb0d0d12-6bf4-4d5f-9236-fa8735393e98",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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